# Image Credits for Figures


## About

This document lists the credits for images used in the paper "Images of the arXiv: reconfiguring large scientific image datasets". There are a number of figures in this paper that use images sampled from arXiv. It was not practical to credit these in the paper due to the large number of images, so the credits are provided here. For montages the credits are listed in order from the top left corner, left to right and top to bottom. For t-SNE images credits unordered due to the images being spatially (re)mapped.


# Table of Contents

1.  [Image Credits for Figures](#org2d2ac18)
    1.  [About](#org8be2b06)
    2.  [Credits](#org2e684ac)
        1.  [montage 4x4 random](#org827aaa2)
        2.  [montage 12x12 random](#org8e22492)
        3.  [montage 12x12 cs.CV October 2018](#org8888754)
        4.  [montage 12x12 stat.ML October 2012](#orgff4500e)
        5.  [montage 12x12 cs.AI 2012](#org2ee6586)
        6.  [t-SNE 8381 images cs.CV 2012](#org6b140f4)
        7.  [t-SNE 2889 images stat.ML 2012](#org9fc3e0a)


## Credits


### montage 4x4 random

1.  Ribas, Ignasi; Jordi, Carme; Torra, Jordi: CD Tau: a detached eclipsing binary with a solar-mass companion, 1999, <https://arxiv.org/abs/astro-ph/9905110>
2.  Tawfik, Abdel Nasser; Diab, Abdel Magied: Generalized Uncertainty Principle and Recent Cosmic Inflation Observations, 2014, <https://arxiv.org/abs/1410.7966>
3.  Martin, A. D.; Roberts, R. G.; Stirling, W. J.; Thorne, R. S.: Uncertainties of predictions from parton distributions. I: experimental errors, 2002, <https://arxiv.org/abs/hep-ph/0211080>
4.  Zhou, Lifeng; Tokekar, Pratap: An Approximation Algorithm for Risk-averse Submodular Optimization, 2018, <https://arxiv.org/abs/1807.09358>
5.  Focardi, M.; Di Giorgio, A. M.; Farina, M.; Pancrazzi, M.; Ottensamer, R.; Lim, T. L.; Pezzuto, S.; Micela, G.; Pace, E.: EChO Payload electronics architecture and SW design, 2014, <https://arxiv.org/abs/1401.2977>
6.  Chulaevsky, Victor: Localization with Less Larmes: Simply MSA, 2008, <https://arxiv.org/abs/0812.2634>
7.  Howlett, Cullan; Manera, Marc; Percival, Will J.: L-PICOLA: A parallel code for fast dark matter simulation, 2015, <https://arxiv.org/abs/1506.03737>
8.  Muehlbacher, Lothar; Ankerhold, Joachim: Path-integral Monte-Carlo simulations for electronic dynamics on molecular chains: II. Transport across impurities, 2004, <https://arxiv.org/abs/cond-mat/0412562>
9.  Ananikian, N.; Artuso, R.; Chakhmakhchyan, L.: Superstable cycles for antiferromagnetic Q-state Potts and three-site interaction Ising models on recursive lattices, 2013, <https://arxiv.org/abs/1307.6038>
10. Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian: Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet, 2016, <https://arxiv.org/abs/1606.00972>
11. Liu, Hao; Li, Ti-Pei: Systematic Distortion in Cosmic Microwave Background Maps, 2008, <https://arxiv.org/abs/0809.4160>
12. Albarelli, Francesco; Rossi, Matteo A. C.; Paris, Matteo G. A.; Genoni, Marco G.: Ultimate limits for quantum magnetometry via time-continuous measurements, 2017, <https://arxiv.org/abs/1706.00485>
13. Ellis, John; Mavromatos, Nick E.: Inflation induced by Gravitino Condensation in Supergravity, 2013, <https://arxiv.org/abs/1308.1906>
14. Xiangrong Zhu for the ALICE Collaboration, : Two-particle correlations in pp and Pb-Pb collisions with ALICE, 2013, <https://arxiv.org/abs/1311.2394>
15. Abolfath, M.; MacDonald, A. H.; Radzihovsky, L.: Critical Currents of Ideal Quantum Hall Superfluids, 2003, <https://arxiv.org/abs/cond-mat/0305295>
16. Dudík, J.; Zuccarello, F. P.; Aulanier, G.; Schmieder, B.; Démoulin, P.: Expanding and Contracting Coronal Loops as Evidence of Vortex Flows Induced by Solar Eruptions, 2017, <https://arxiv.org/abs/1706.04783>


### montage 12x12 random

1.  Lazzati, D.; Morsony, B. J.; Margutti, R.; Begelman, M. C.: Photospheric emission as the dominant radiation mechanism in long-duration gamma-ray bursts, 2013, <https://arxiv.org/abs/1301.3920>
2.  Serpa, Nilo: New Lectures on Supergravity, 2011, <https://arxiv.org/abs/1105.3213>
3.  Burikham, Piyabut; Panpanich, Sirachak: Effects of Chameleon Scalar Field on Rotation Curves of the Galaxies, 2011, <https://arxiv.org/abs/1103.1198>
4.  Bass, S. D.; De Roeck, A.: The Spin Structure of the Proton and Polarized Collider Physics, 2001, <https://arxiv.org/abs/hep-ph/0111377>
5.  Adel, Tameem; Wong, Alexander; Stashuk, Daniel: A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping, 2015, <https://arxiv.org/abs/1508.00507>
6.  Phillips, M. M.; Simon, Joshua D.; Morrell, Nidia; Burns, Christopher R.; Cox, Nick L. J.; Foley, Ryan J.; Karakas, Amanda I.; Patat, F.; Sternberg, A.; Williams, R. E.; Gal-Yam, A.; Hsiao, E. Y.; Leonard, D. C.; Persson, Sven E.; Stritzinger, Maximilian; Thompson, I. B.; Campillay, Abdo; Contreras, Carlos; Folatelli, Gastón; Freedman, Wendy L.; Hamuy, Mario; Roth, Miguel; Shields, Gregory A.; Suntzeff, Nicholas B.; Chomiuk, Laura; Ivans, Inese I.; Madore, Barry F.; Penprase, B. E.; Perley, Daniel; Preston, G. Pignata G.; Soderberg, Alicia M.: On the Source of the Dust Extinction in Type Ia Supernovae and the Discovery of Anomalously Strong Na I Absorption, 2013, <https://arxiv.org/abs/1311.0147>
7.  Ghorbani, Karim; Khalkhali, Leila: Mono-Higgs signature in fermionic dark matter model, 2016, <https://arxiv.org/abs/1608.04559>
8.  Lu, Jingwei; Zhuang, Hao; Kang, Ilgweon; Chen, Pengwen; Cheng, Chung-Kuan: ePlace-3D: Electrostatics based Placement for 3D-ICs, 2015, <https://arxiv.org/abs/1512.08291>
9.  Sanakoyeu, Artsiom; Bautista, Miguel A.; Ommer, Björn: Deep Unsupervised Learning of Visual Similarities, 2018, <https://arxiv.org/abs/1802.08562>
10. de Freitas, Rodolfo C.; Velten, Hermano: Non-linear clustering during the BEC dark matter phase transition, 2015, <https://arxiv.org/abs/1503.01877>
11. Abbas, Halim; Garberson, Ford; Glover, Eric; Wall, Dennis P: Machine learning approach for early detection of autism by combining questionnaire and home video screening, 2017, <https://arxiv.org/abs/1703.06076>
12. Tsurkan, V.; Zherlitsyn, S.; Yasin, S.; Felea, V.; Skourski, Y.; Deisenhofer, J.; von Nidda, H. -A. Krug; Wosnitza, J.; Loidl, A.: Unconventional magnetostructural transition in CoCr2O4 at high magnetic fields, 2013, <https://arxiv.org/abs/1302.5605>
13. Swift, Damian C.; Kraus, Richard G.: On the Properties of Plastic Ablators in Laser-Driven Material Dynamics Experiments, 2007, <https://arxiv.org/abs/0712.1203>
14. Guichon, P. A. M.; Mossé, L.; Vanderhaeghen, M.: Pion production in deeply virtual Compton scattering, 2003, <https://arxiv.org/abs/hep-ph/0305231>
15. Kibiłda, Jacek; Kaminski, Nicholas J.; DaSilva, Luiz A.: Radio Access Network and Spectrum Sharing in Mobile Networks: A Stochastic Geometry Perspective, 2016, <https://arxiv.org/abs/1604.06588>
16. Frederix, Rikkert; Frixione, Stefano; Hirschi, Valentin; Pagani, Davide; Shao, Hua-Sheng; Zaro, Marco: The complete NLO corrections to dijet hadroproduction, 2016, <https://arxiv.org/abs/1612.06548>
17. Hansen, Ursula Bengaard; Bertelsen, Mads; Knudsen, Erik Bergbäck; Lefmann, Kim: Simulation of waviness in neutron guides, 2016, <https://arxiv.org/abs/1612.03763>
18. Roca-Maza, X.; Pozzi, G.; Brenna, M.; Mizuyama, K.; Colò, G.: Low-lying dipole response: isospin character and collectivity in ${}^{68}$Ni, ${}^{132}$Sn and ${}^{208}$Pb, 2011, <https://arxiv.org/abs/1112.0190>
19. Wang, Hui; Huang, Jinyuan; Xu, Xiaomin; Xiao, Yanghua; Wang, Wei: Robustness of Complex Networks against Attacks Guided by Damage, 2011, <https://arxiv.org/abs/1105.0275>
20. Paikan, Ali; Tikhanoff, Vadim; Metta, Giorgio; Natale, Lorenzo: Enhancing software module reusability using port plug-ins: an experiment with the iCub robot, 2014, <https://arxiv.org/abs/1411.1102>
21. Brandenburg, A.; Dobler, W.; Subramanian, K.: Magnetic helicity in stellar dynamos: new numerical experiments, 2001, <https://arxiv.org/abs/astro-ph/0111567>
22. Rizzo, Thomas G.: Tests of Low Scale Quantum Gravity in \(e^-e^-\) and \(\gamma \gamma\) Collisions, 1999, <https://arxiv.org/abs/hep-ph/9907401>
23. "Moccia, Massimo; Castaldi, Giuseppe; D'Alterio, Giuliana; Feo, Maurizio; Vitiello, Roberto; Galdi, Vincenzo;: Transformation-Optics-Based Design of a Metamaterial Radome for Extending the Scanning Angle of a Phased Array Antenna, 2017, <https://arxiv.org/abs/1703.03793>
24. Manna, S. S.; Chakrabarti, A. D.; Cafiero, R.: Critical States in a Dissipative Sandpile Model, 1999, <https://arxiv.org/abs/cond-mat/9909065>
25. Rorai, Alberto; Hennawi, Joseph F.; Oñorbe, Jose; White, Martin; Prochaska, J. Xavier; Kulkarni, Girish; Walther, Michael; Lukić, Zarija; Lee, Khee-Gan: Measurement of the small-scale structure of the intergalactic medium using close quasar pairs, 2017, <https://arxiv.org/abs/1704.08366>
26. Cellucci, Daniel; Cheung, Kenneth C.: Evaluation of Cellular Solids Derived from Triply Periodic Minimal Surfaces, 2015, <https://arxiv.org/abs/1512.07512>
27. Richard, Samuel; Nelson, Richard P.; Umurhan, Orkan M.: Vortex formation in protoplanetary discs induced by the vertical shear instability, 2016, <https://arxiv.org/abs/1601.01921>
28. Liu, Chenxu; Dutt, M. V. Gurudev; Pekker, David: Measurement based 2-qubit unitary gates for pairs of Nitrogen-Vacancy centers in diamond, 2018, <https://arxiv.org/abs/1808.10015>
29. MirMostafaee, S. M. T. K.; Amini, Morteza; Asgharzadeh, A.: Bayesian prediction of minimal repair times of a series system based on hybrid censored sample of components' lifetimes under Rayleigh distribution, 2015, <https://arxiv.org/abs/1505.06417>
30. Ferrari, Luca Alberto Davide; Rossmanith, Carolin; Wirth, Benedikt: Phase field approximations of branched transportation problems, 2018, <https://arxiv.org/abs/1805.11399>
31. Hlinka, Jaroslav; Hartman, David; Vejmelka, Martin; Novotná, Dagmar; Paluš, Milan: Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity, 2012, <https://arxiv.org/abs/1211.6688>
32. Sawant, Rahul; Rangwala, S. A.: Optical bistability enabled control of resonant light transmission for an atom-cavity system, 2015, <https://arxiv.org/abs/1505.00105>
33. Yang, Yuan-Pei; Zhang, Bing: Extracting host galaxy dispersion measure and constraining cosmological parameters using fast radio burst data, 2016, <https://arxiv.org/abs/1608.08154>
34. Staley, T. D.; Titterington, D. J.; Fender, R. P.; Swinbank, J. D.; van der Horst, A. J.; Rowlinson, A.; Scaife, A. M. M.; Grainge, K. J. B.; Pooley, G. G.: Automated rapid follow-up of Swift GRBs with AMI-LA, 2012, <https://arxiv.org/abs/1211.3115>
35. Barbot, Thierry; Fillastre, François: Quasi-Fuchsian co-Minkowski manifolds, 2018, <https://arxiv.org/abs/1801.10429>
36. Chang, Chi-Ming; Lin, Ying-Hsuan; Shao, Shu-Heng; Wang, Yifan; Yin, Xi: Topological Defect Lines and Renormalization Group Flows in Two Dimensions, 2018, <https://arxiv.org/abs/1802.04445>
37. Zimnik, Samantha; Dickmann, Marcel; Hugenschmidt, Christoph: In-situ observation of temperature-dependent segregation of Ni adatoms on oriented Pd surfaces, 2017, <https://arxiv.org/abs/1704.01966>
38. Lüscher, Martin: Topology, the Wilson flow and the HMC algorithm, 2010, <https://arxiv.org/abs/1009.5877>
39. Leino, Viljami; Rummukainen, Kari; Tuominen, Kimmo: Slope of the beta function at the fixed point of SU(2) gauge theory with six or eight flavors, 2018, <https://arxiv.org/abs/1804.02319>
40. Pasetto, Alice; Kraus, Alex; Mack, Karl-Heinz; Bruni, Gabriele; Carrasco-Gonzalez, Carlos: A study of a sample of high rotation measure AGNs through multifrequency single dish observations, 2015, <https://arxiv.org/abs/1510.01136>
41. Feng, Shuai; Shao, Zheng-Yi; Shen, Shi-Yin; Argudo-Fernández, Maria; Wu, Hong; Lam, Man-I; Yang, Ming; Yuan, Fang-Ting: An Isolated Compact Galaxy Triplet, 2015, <https://arxiv.org/abs/1512.02439>
42. Grant, Edward; Sahm, Stephan; Zabihi, Mariam; van Gerven, Marcel: Predicting and visualizing psychological attributions with a deep neural network, 2015, <https://arxiv.org/abs/1512.01289>
43. Kamio, Suguru; Hara, Hirohisa; Watanabe, Tetsuya; Matsuzaki, Keiichi; Shibata, Kazunari; Culhane, Len; Warren, Harry: Velocity Structure of Jets in Coronal Hole, 2007, <https://arxiv.org/abs/0711.2848>
44. ExHIC Collaboration, ; Cho, Sungtae; Hyodo, Tetsuo; Jido, Daisuke; Ko, Che Ming; Lee, Su Houng; Maeda, Saori; Miyahara, Kenta; Morita, Kenji; Nielsen, Marina; Ohnishi, Akira; Sekihara, Takayasu; Song, Taesoo; Yasui, Shigehiro; Yazaki, Koichi: Exotic Hadrons from Heavy Ion Collisions, 2017, <https://arxiv.org/abs/1702.00486>
45. Iskrzynski, Mateusz; Kowalska, Kamila: Exact SU(5) Yukawa matrix unification in the General Flavour Violating MSSM, 2014, <https://arxiv.org/abs/1412.8651>
46. Farrar, Glennys R.; Sutherland, Michael S.: Deflections of UHECRs in the Galactic magnetic field, 2017, <https://arxiv.org/abs/1711.02730>
47. McJunkin, Matthew; France, Kevin; Schneider, P. C.; Herczeg, Gregory J.; Brown, Alexander; Hillenbrand, Lynne; Schindhelm, Eric; Edwards, Suzan: Direct Measurement of Interstellar Extinction Toward Young Stars Using Atomic Hydrogen Lyman-\(\alpha\) Absorption, 2013, <https://arxiv.org/abs/1312.1650>
48. Cloutier, R.; Astudillo-Defru, N.; Doyon, R.; Bonfils, X.; Almenara, J. M.; Benneke, B.; Bouchy, F.; Delfosse, X.; Ehrenreich, D.; Forveille, T.; Lovis, C.; Mayor, M.; Menou, K.; Murgas, F.; Pepe, F.; Rowe, J.; Santos, N. C.; Udry, S.; Wünsche, A.: Characterization of the K2-18 multi-planetary system with HARPS: A habitable zone super-Earth and discovery of a second, warm super-Earth on a non-coplanar orbit, 2017, <https://arxiv.org/abs/1707.04292>
49. Shipman, Nicholas; Calatroni, Sergio; Jones, Roger M.; Wuensch, Walter: Measurement of the dynamic response of the CERN DC spark system and preliminary estimates of the breakdown turn-on time, 2012, <https://arxiv.org/abs/1206.0573>
50. Batiz, Zoltan; Gross, Franz: Pole Term and Gauge Invariance in Deep Inelastic Scattering, 1998, <https://arxiv.org/abs/nucl-th/9803053>
51. Gupta, Raj Kumar; Chia, Alex Yong-Sang; Rajan, Deepu; Zhiyong, Huang: A learning-based approach for automatic image and video colorization, 2017, <https://arxiv.org/abs/1704.04610>
52. Moreno-Bromberg, Santiago; Taschini, Luca: Pollution permits, Strategic Trading and Dynamic Technology Adoption, 2011, <https://arxiv.org/abs/1103.2914>
53. Likhoded, A. K.; Slabospitsky, S. R.: Charmed hadrons production in high-energy \(\Sigma^-\) beam, 2000, <https://arxiv.org/abs/hep-ph/0002202>
54. Christou, A. A.; Kwiatkowski, T.; Butkiewicz, M.; Gulbis, A.; Hergenrother, C. W.; Duddy, S.; Fitzsimmons, A.: Physical and dynamical characterisation of low Delta-V NEA (190491) 2000 FJ10, 2012, <https://arxiv.org/abs/1210.3486>
55. Bhaumik, Sourjya; Chuck, David; Narlikar, Girija; Wilfong, Gordon: Energy-Efficient Design and Optimization of Wireline Access Networks, 2011, <https://arxiv.org/abs/1101.2717>
56. Zhang, Shaobo; Xu, Ye; Yang, Ji: Molecular Clouds in the North American and Pelican Nebulae: Structures, 2013, <https://arxiv.org/abs/1312.3079>
57. Rasskazov, Alexander; Merritt, David: Evolution Of Binary Supermassive Black Holes In Rotating Nuclei, 2016, <https://arxiv.org/abs/1610.08555>
58. Zhou, Xiaowei; Yang, Can; Yu, Weichuan: Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation, 2011, <https://arxiv.org/abs/1109.0882>
59. Radicchi, Filippo; Castellano, Claudio: Leveraging percolation theory to single out influential spreaders in networks, 2016, <https://arxiv.org/abs/1605.07041>
60. Bornyakov, V. G.; Kononenko, A. G.: Abelian monopoles in finite temperature lattice SU(2) gluodynamics: first study with improved action, 2011, <https://arxiv.org/abs/1111.0169>
61. Gamiz, E.; Bailey, J. A.; Bazavov, A.; Bernard, C.; Bouchard, C.; DeTar, C.; Du, D.; El-Khadra, A. X.; Foley, J.; Freeland, E. D.; Gottlieb, Steven; Heller, U. M.; Kim, J.; Kronfeld, A. S.; Laiho, J.; Levkova, L.; Mackenzie, P. B.; Neil, E. T.; Oktay, M. B.; Qiu, Si-Wei; Simone, J. N.; Sugar, R.; Toussaint, D.; Van de Water, R. S.; Zhou, R.: Kaon semileptonic decay form factors with HISQ valence quarks, 2012, <https://arxiv.org/abs/1211.0751>
62. Cho, Inyong; Chun, Eung Jin; Kim, Hang Bae; Kim, Yoonbai: String Cosmology of the D-brane Universe, 2006, <https://arxiv.org/abs/hep-th/0603174>
63. Ghosh, Premomoy; Muhuri, Sanjib: Do we see change of phase in proton-proton collisions at the Large Hadron Collider?, 2014, <https://arxiv.org/abs/1406.5811>
64. Huang, Qingqing; Roozbehani, Mardavij; Dahleh, Munther A: Efficiency-Risk Tradeoffs in Dynamic Oligopoly Markets - with application to electricity markets, 2012, <https://arxiv.org/abs/1209.0229>
65. Bernini, A.; Disanto, F.; Pinzani, R.; Rinaldi, S.: Permutations defining convex permutominoes, 2007, <https://arxiv.org/abs/0711.0582>
66. Inamdar, Niraj K.; Binzel, Richard P.; Hong, Jae Sub; Allen, Branden; Grindlay, Jonathan; Masterson, Rebecca A.: Modeling the Expected Performance of the REgolith X-ray Imaging Spectrometer (REXIS), 2014, <https://arxiv.org/abs/1410.3051>
67. Glossop, Matthew T.; Ingersent, Kevin: Kondo physics and dissipation: A numerical renormalization-group approach to Bose-Fermi Kondo models, 2006, <https://arxiv.org/abs/cond-mat/0609589>
68. Richard, Johan; Stark, Daniel P.; Ellis, Richard S.; George, Matthew R.; Egami, Eiichi; Kneib, Jean-Paul; Smith, Graham P.: A Hubble & Spitzer Space Telescope Survey for Gravitationally-Lensed Galaxies: Further Evidence for a Significant Population of Low Luminosity Galaxies beyond Redshift Seven, 2008, <https://arxiv.org/abs/0803.4391>
69. Funakubo, K.; Kakuto, A.; Otsuki, S.; Takenaga, K.; Toyoda, F.: Profile of the Electroweak Bubble Wall, 1996, <https://arxiv.org/abs/hep-ph/9609317>
70. Ota, Naomi; Hattori, Makoto; Pointecouteau, Etienne; Mitsuda, Kazuhisa: Chandra Spectroscopy and Mass Estimation of the Lensing Cluster of Galaxies CL0024+17, 2002, <https://arxiv.org/abs/astro-ph/0209226>
71. Liška, Martin: Optimizing large applications, 2014, <https://arxiv.org/abs/1403.6997>
72. Li, Jin: Radiative Penguin decays at Belle, 2008, <https://arxiv.org/abs/0810.3069>
73. Priest, E. R.: Hinode 7: Conference Summary and Future Suggestions, 2014, <https://arxiv.org/abs/1405.3523>
74. Samokhin, K. V.; Truong, B. P.: Fulde-Ferrell-Larkin-Ovchinnikov superconductors near a surface, 2018, <https://arxiv.org/abs/1807.05261>
75. Chow, Siu-Fai; Wick, Stuart D.; Riecke, Hermann: Neurogenesis Drives Stimulus Decorrelation in a Model of the Olfactory Bulb, 2012, <https://arxiv.org/abs/1202.2148>
76. Lee, Juhee; Mueller, Peter; Sengupta, Subhajit; Gulukota, Kamalakar; Ji, Yuan: Bayesian Inference for Tumor Subclones Accounting for Sequencing and Structural Variants, 2014, <https://arxiv.org/abs/1409.7158>
77. Simionescu, A.; Roediger, E.; Nulsen, P. E. J.; Brüggen, M.; Forman, W. R.; Böhringer, H.; Werner, N.; Finoguenov, A.: The large-scale shock in the cluster of galaxies Hydra A, 2008, <https://arxiv.org/abs/0810.0271>
78. Doussal, Pierre Le; Wiese, Kay Joerg: Avalanche dynamics of elastic interfaces, 2013, <https://arxiv.org/abs/1302.4316>
79. Gugushvili, Shota; van der Meulen, Frank; Schauer, Moritz; Spreij, Peter: Bayesian wavelet de-noising with the caravan prior, 2018, <https://arxiv.org/abs/1810.07668>
80. Heavy Flavor Averaging Group, ; Amhis, Y.; Banerjee, Sw.; Ben-Haim, E.; Blyth, S.; Bozek, A.; Bozzi, C.; Carbone, A.; Chistov, R.; Chrząszcz, M.; Cibinetto, G.; Dingfelder, J.; Gelb, M.; Gersabeck, M.; Gershon, T.; Gibbons, L.; Golob, B.; Harr, R.; Hayasaka, K.; Hayashii, H.; Kuhr, T.; Leroy, O.; Lusiani, A.; Miyabayashi, K.; Naik, P.; Nishida, S.; Campos, A. Oyanguren; Patel, M.; Pedrini, D.; Petrič, M.; Rama, M.; Roney, M.; Rotondo, M.; Schneider, O.; Schwanda, C.; Schwartz, A. J.; Shwartz, B.; Smith, J. G.; Tesarek, R.; Trabelsi, K.; Urquijo, P.; Van Kooten, R.; Zupanc, A.: Averages of $b$-hadron, $c$-hadron, and $&tau;$-lepton properties as of summer 2014, 2014, <https://arxiv.org/abs/1412.7515>
81. Banerji, Manda; McMahon, R. G.; Willott, C. J.; Geach, J. E.; Harrison, C. M.; Alaghband-Zadeh, S.; Alexander, D. M.; Bourne, N.; Coppin, K. E. K.; Dunlop, J. S.; Farrah, D.; Jarvis, M.; Michalowski, M. J.; Page, M.; Smith, D. J. B.; Swinbank, A. M.; Symeonidis, M.; Van der Werf, P. P.: Cold Dust Emission from X-ray AGN in the SCUBA-2 Cosmology Legacy Survey: Dependence on Luminosity, Obscuration & AGN Activity, 2015, <https://arxiv.org/abs/1509.00018>
82. Oshima, Kazuto: Simple procedure for classical signal-procession in cluster-state quantum computation, 2009, <https://arxiv.org/abs/0909.5533>
83. Hao, Yue; Litvinenko, Vladimir N.; Ptitsyn, Vadim: Beam-beam Effects of 'Gear-changing' in Ring-Ring Colliders, 2013, <https://arxiv.org/abs/1309.1739>
84. Gao, Chao; Harle, Robert: Semi-automated Signal Surveying Using Smartphones and Floorplans, 2017, <https://arxiv.org/abs/1711.06503>
85. Shalev-Shwartz, Shai; Zhang, Tong: Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization, 2012, <https://arxiv.org/abs/1209.1873>
86. Zenger, Christan; Vogt, Hendrik; Zimmer, Jan; Sezgin, Aydin; Paar, Christof: The Passive Eavesdropper Affects my Channel: Secret-Key Rates under Real-World Conditions (Extended Version), 2017, <https://arxiv.org/abs/1701.03904>
87. Dominik, M.: Adaptive Contouring &#x2013; an efficient way to calculate microlensing light curves of extended sources, 2007, <https://arxiv.org/abs/astro-ph/0703305>
88. Viswanathan, Vaisagh; Lee, Chong Eu; Lees, Michael Harold; Cheong, Siew Ann; Sloot, Peter M. A.: Quantitative Comparison Between Crowd Models for Evacuation Planning and Evaluation, 2014, <https://arxiv.org/abs/1401.0366>
89. Sicilia, Alberto; Arenzon, Jeferson J.; Bray, Alan J.; Cugliandolo, Leticia F.: Domain growth morphology in curvature driven two dimensional coarsening, 2007, <https://arxiv.org/abs/0706.4314>
90. Keceli, Feyza; Inan, Inanc; Ayanoglu, Ender: Fair and Efficient TCP Access in the IEEE 802.11 Infrastructure Basic Service Set, 2008, <https://arxiv.org/abs/0806.1089>
91. Lazar, M.: Fast magnetization in counterstreaming plasmas with temperature anisotropies, 2007, <https://arxiv.org/abs/0711.2385>
92. Boden, Hans U.; Chrisman, Micah; Gaudreau, Robin: Signature and concordance of virtual knots, 2017, <https://arxiv.org/abs/1708.08090>
93. Herty, Michael; Puppo, Gabriella; Roncoroni, Sebastiano; Visconti, Giuseppe: The BGK approximation of kinetic models for traffic, 2018, <https://arxiv.org/abs/1812.11056>
94. Tan, Chenhao; Lee, Lillian: All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement, 2015, <https://arxiv.org/abs/1503.01180>
95. Blaes, Omer; Krolik, Julian H.; Hirose, Shigenobu; Shabaltas, Natalia: Dissipation and Vertical Energy Transport in Radiation-Dominated Accretion Disks, 2011, <https://arxiv.org/abs/1103.5052>
96. Clavier, Pierre J.: Analytical and Geometric approches of non-perturbative Quantum Field Theories, 2015, <https://arxiv.org/abs/1511.09190>
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98. "West, Nathan E; O'Shea, Timothy J.;: Deep Architectures for Modulation Recognition, 2017, <https://arxiv.org/abs/1703.09197>
99. Schott, Matthias; Dunford, Monica: Review of single vector boson production in pp collisions at \(\sqrt{s} = 7\) TeV, 2014, <https://arxiv.org/abs/1405.1160>
100.Archer, Thomas; Pemmaraju, Chaitanya Das; Sanvito, Stefano: Magnetic interaction of Co ions near the {10\bar{1}0} ZnO surface, 2010, <https://arxiv.org/abs/1003.2576>
101.Valero, Carlos: Maxwell's Equations, The Euler Index and Morse Theory, 2013, <https://arxiv.org/abs/1311.0569>
102.Sekeh, Salimeh Yasaei; Oselio, Brandon; Hero, Alfred O.: A Dimension-Independent discriminant between distributions, 2018, <https://arxiv.org/abs/1802.04497>
103.Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian: Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet, 2016, <https://arxiv.org/abs/1606.00972>
104.Basat, Ran Ben; Einziger, Gil; Friedman, Roy; Kassner, Yaron: Randomized Admission Policy for Efficient Top-k and Frequency Estimation, 2016, <https://arxiv.org/abs/1612.02962>
105.Lorenz, T.; Ammerahl, U.; Ziemes, R.; Buechner, B.; Revcolevschi, A.; Dhalenne, G.: Thermodynamic Properties of the Incommensurate Phase of CuGeO\_3, 1996, <https://arxiv.org/abs/cond-mat/9610163>
106.Billot, Nicolas: Calibrating a novel type of bolometer arrays for the Herschel/PACS Photometer, 2008, <https://arxiv.org/abs/0808.3958>
107.Enoki, Motohiro; Nagashima, Masahiro: The Effect of Orbital Eccentricity on Gravitational Wave Background Radiation from Supermassive Black Hole Binaries, 2006, <https://arxiv.org/abs/astro-ph/0609377>
108.Yang, S. -R. Eric; Cha, Min-Chul; Han, Jung Hoon: Numerical Test of Disk Trial Wave function for Half-Filled Landau Level, 2000, <https://arxiv.org/abs/cond-mat/0006434>
109.Motta, S.; Muñoz-Darias, T.; Belloni, T.: On the outburst evolution of H1743-322: a 2008/2009 comparison, 2010, <https://arxiv.org/abs/1006.4773>
110.Roediger, E.; Kraft, R. P.; Nulsen, P.; Churazov, E.; Forman, W.; Brueggen, M.; Kokotanekova, R.: Viscous Kelvin-Helmholtz instabilities in highly ionised plasmas, 2013, <https://arxiv.org/abs/1309.2635>
111.Cammarota, Valentina; Marinucci, Domenico; Wigman, Igor: On the distribution of the critical values of random spherical harmonics, 2014, <https://arxiv.org/abs/1409.1364>
112.Körtgen, Bastian; Bovino, Stefano; Schleicher, Dominik R. G.; Stutz, Amelia; Banerjee, Robi; Giannetti, Andrea; Leurini, Silvia: Fast deuterium fractionation in magnetized and turbulent filaments, 2017, <https://arxiv.org/abs/1709.04013>
113.Long, Gucan; Kneip, Laurent; Alvarez, Jose M.; Li, Hongdong: Learning Image Matching by Simply Watching Video, 2016, <https://arxiv.org/abs/1603.06041>
114.Espinoza, Néstor; Jordán, Andrés: Limb darkening and exoplanets: testing stellar model atmospheres and identifying biases in transit parameters, 2015, <https://arxiv.org/abs/1503.07020>
115.Lokas, Ewa L.; Ebrova, Ivana; del Pino, Andres; Sybilska, Agnieszka; Athanassoula, E.; Semczuk, Marcin; Gajda, Grzegorz; Fouquet, Sylvain: Tidally induced bars of galaxies in clusters, 2016, <https://arxiv.org/abs/1601.07433>
116.Zhang, Xiaoshuai; Lu, Yiping; Liu, Jiaying; Dong, Bin: Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration, 2018, <https://arxiv.org/abs/1805.07709>
117.Bertone, V.; Carrasco, N.; Ciuchini, M.; Dimopoulos, P.; Frezzotti, R.; Gimenez, V.; Lubicz, V.; Martinelli, G.; Mescia, F.; Papinutto, M.; Rossi, G. C.; Silvestrini, L.; Simula, S.; Tarantino, C.; Vladikas, A.; Collaboration, for the ETM: Kaon Mixing Beyond the SM from Nf=2 tmQCD and model independent constraints from the UTA, 2012, <https://arxiv.org/abs/1207.1287>
118.Bronnikov, Kirill; Dymnikova, Irina; Galaktionov, Evgeny: Multi-horizon spherically symmetric spacetimes with several scales of vacuum energy, 2012, <https://arxiv.org/abs/1204.0534>
119.Ledwig, Tim; Kim, Hyun-Chul: Transverse strange quark spin structure of the nucleon, 2011, <https://arxiv.org/abs/1107.4952>
120.Udagedara, Indika; Helenbrook, Brian; Luttman, Aaron; Catenacci, Jared: Improved Probabilistic Principal Component Analysis for Application to Reduced Order Modeling, 2017, <https://arxiv.org/abs/1702.01236>
121.Moustakas, John; Kennicutt,, Robert C.; Tremonti, Christy A.: Optical Star-Formation Rate Indicators, 2005, <https://arxiv.org/abs/astro-ph/0511730>
122.Shi, Jiaxin; Sun, Shengyang; Zhu, Jun: A Spectral Approach to Gradient Estimation for Implicit Distributions, 2018, <https://arxiv.org/abs/1806.02925>
123.Bücher, Axel; Dette, Holger: Multiplier bootstrap of tail copulas with applications, 2011, <https://arxiv.org/abs/1102.0110>
124.Li, Yao Dong; Lu, Yuan-Ming; Chen, Gang: The Spinon Fermi Surface U(1) Spin Liquid in a Spin-Orbit-Coupled Triangular Lattice Mott Insulator YbMgGaO4, 2016, <https://arxiv.org/abs/1612.03447>
125.Zentner, Raphael: A class of knots with simple \(SU(2)\) representations, 2015, <https://arxiv.org/abs/1501.02504>
126.Wang, M.; Wang, S.; Zhang, Q.; Chan, C. T.; Chan, H. B.: Measurement of mechanical deformations induced by enhanced electromagnetic stress on a parallel metallic-plate system, 2018, <https://arxiv.org/abs/1804.08260>
127.Sefat, Athena S.; Singh, David J.; Garlea, V. Ovidiu; Zuev, Yuri L.; McGuire, Michael A.; VanBebber, Lindsay; Sales, Brian C.: Control of Correlations in Sr4V2O6Fe2As2 by Chemical Stoichiometry, 2010, <https://arxiv.org/abs/1009.4911>
128.Wang, Xuelei; Zeng, Qingguo; Jin, Zhenlan; Liu, Suzhen: The associated productions of the new gauge boson \(B_{H}\) in the littlest Higgs model with a SM gauge boson via \(e^+e^-\) collision, 2007, <https://arxiv.org/abs/hep-ph/0702064>
129.Sisakyan, Narek; Malakyan, Yuri: Quantum Theory for Generation of Nonclassical Photon Pairs by a Medium with Coherent Atomic Memory, 2005, <https://arxiv.org/abs/quant-ph/0503186>
130.Kervella, Pierre; Mérand, Antoine; Gallenne, Alexandre: The circumstellar envelopes of the Cepheids L Car and RS Pup - Comparative study in the infrared with Spitzer, VLT/VISIR and VLTI/MIDI, 2009, <https://arxiv.org/abs/0902.1588>
131.Fegan, S. J.; Sanchez, D.; Collaboration, Fermi LAT; :, ; Abdo, A. A.: Fermi observations of TeV-selected AGN, 2009, <https://arxiv.org/abs/0910.4881>
132.Khurshudyan, M.; Pasqua, A.; Sadeghi, J.; Farahani, H.: Quintessence Cosmology with an Effective $&Lambda;$-Term in Lyra Manifold, 2014, <https://arxiv.org/abs/1402.0118>
133.Zhang, Cheng; Ek, Carl Henrik; Damianou, Andreas; Kjellstrom, Hedvig: Factorized Topic Models, 2013, <https://arxiv.org/abs/1301.3461>
134.Frassek, Rouven: Q-operators, Yangian invariance and the quantum inverse scattering method, 2014, <https://arxiv.org/abs/1412.3339>
135.Goldfarb, Donald; Qin, Zhiwei: Robust Low-rank Tensor Recovery: Models and Algorithms, 2013, <https://arxiv.org/abs/1311.6182>
136.Gull, Emanuel; Ferrero, Michel; Parcollet, Olivier; Georges, Antoine; Millis, Andrew J.: Momentum space anisotropy and pseudogaps: a comparative cluster dynamical mean field analysis of the doping-driven metal-insulator transition in the two dimensional Hubbard model, 2010, <https://arxiv.org/abs/1007.2592>
137.Deng, Haiyun; Liu, Hairong; Tian, Long: Critical points of solutions for mean curvature equation in strictly convex and nonconvex domains, 2017, <https://arxiv.org/abs/1712.08431>
138.Biondini, Gino; Li, Sitai; Mantzavinos, Dionyssis; Trillo, Stefano: Universal behavior of modulationally unstable media, 2017, <https://arxiv.org/abs/1710.05068>
139.Kajdanowicz, Tomasz; Michalski, Radosław; Musiał, Katarzyna; Kazienko, Przemysław: Learning in Unlabeled Networks - An Active Learning and Inference Approach, 2015, <https://arxiv.org/abs/1510.01270>
140.Soheili, Ali Reza; Stockie, John M.: A moving mesh method with variable relaxation time, 2006, <https://arxiv.org/abs/math/0602376>
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### montage 12x12 cs.CV October 2018

1.  Mondal, Arnab Kumar; Dolz, Jose; Desrosiers, Christian: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning, 2018, <https://arxiv.org/abs/1810.12241>
2.  Stamatescu, Victor; McDonnell, Mark D.: Diagnosing Convolutional Neural Networks using their Spectral Response, 2018, <https://arxiv.org/abs/1810.03241>
3.  Cavallari, Tommaso; Golodetz, Stuart; Lord, Nicholas A.; Valentin, Julien; Prisacariu, Victor A.; Di Stefano, Luigi; Torr, Philip H. S.: Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade, 2018, <https://arxiv.org/abs/1810.12163>
4.  Mao, Wendong; Wang, Mingjie; Zhou, Jun; Gong, Minglun: Semi-dense Stereo Matching using Dual CNNs, 2018, <https://arxiv.org/abs/1810.01369>
5.  Engelmann, Francis; Kontogianni, Theodora; Schult, Jonas; Leibe, Bastian: Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds, 2018, <https://arxiv.org/abs/1810.01151>
6.  Aliakbarian, Mohammad Sadegh; Saleh, Fatemeh Sadat; Salzmann, Mathieu; Fernando, Basura; Petersson, Lars; Andersson, Lars: VIENA2: A Driving Anticipation Dataset, 2018, <https://arxiv.org/abs/1810.09044>
7.  Liang, Yixiong; Mao, Yuan; Xia, Jiazhi; Xiang, Yao; Liu, Jianfeng: Scale-Invariant Structure Saliency Selection for Fast Image Fusion, 2018, <https://arxiv.org/abs/1810.12553>
8.  Corona, Enric; Kundu, Kaustav; Fidler, Sanja: Pose Estimation for Objects with Rotational Symmetry, 2018, <https://arxiv.org/abs/1810.05780>
9.  Laves, Max-Heinrich; Kahrs, Lüder A.; Ortmaier, Tobias: Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography, 2018, <https://arxiv.org/abs/1810.11205>
10. Lin, Hubert; Averkiou, Melinos; Kalogerakis, Evangelos; Kovacs, Balazs; Ranade, Siddhant; Kim, Vladimir G.; Chaudhuri, Siddhartha; Bala, Kavita: Learning Material-Aware Local Descriptors for 3D Shapes, 2018, <https://arxiv.org/abs/1810.08729>
11. Le, T. Hoang Ngan; Gummadi, Raajitha; Savvides, Marios: Deep Recurrent Level Set for Segmenting Brain Tumors, 2018, <https://arxiv.org/abs/1810.04752>
12. Chen, Chen; Bai, Wenjia; Rueckert, Daniel: Multi-Task Learning for Left Atrial Segmentation on GE-MRI, 2018, <https://arxiv.org/abs/1810.13205>
13. Irmakci, Ismail; Hussein, Sarfaraz; Savran, Aydogan; Kalyani, Rita R.; Reiter, David; Chia, Chee W.; Fishbein, Kenneth W.; Spencer, Richard G.; Ferrucci, Luigi; Bagci, Ulas: A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation, 2018, <https://arxiv.org/abs/1810.06071>
14. Jacobs, Nathan; Kraft, Adam; Rafique, Muhammad Usman; Sharma, Ranti Dev: A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery, 2018, <https://arxiv.org/abs/1810.09528>
15. Melekhov, Iaroslav; Tiulpin, Aleksei; Sattler, Torsten; Pollefeys, Marc; Rahtu, Esa; Kannala, Juho: DGC-Net: Dense Geometric Correspondence Network, 2018, <https://arxiv.org/abs/1810.08393>
16. Wang, Lijun; Shen, Xiaohui; Zhang, Jianming; Wang, Oliver; Lin, Zhe; Hsieh, Chih-Yao; Kong, Sarah; Lu, Huchuan: DeepLens: Shallow Depth Of Field From A Single Image, 2018, <https://arxiv.org/abs/1810.08100>
17. Krish, Ram P.; Fierrez, Julian; Ramos, Daniel; Alonso-Fernandez, Fernando; Bigun, Josef: Improving Automated Latent Fingerprint Identification using Extended Minutia Types, 2018, <https://arxiv.org/abs/1810.09801>
18. Nekrasov, Vladimir; Shen, Chunhua; Reid, Ian: Light-Weight RefineNet for Real-Time Semantic Segmentation, 2018, <https://arxiv.org/abs/1810.03272>
19. Borji, Ali: Saliency Prediction in the Deep Learning Era: An Empirical Investigation, 2018, <https://arxiv.org/abs/1810.03716>
20. Adebayo, Julius; Gilmer, Justin; Muelly, Michael; Goodfellow, Ian; Hardt, Moritz; Kim, Been: Sanity Checks for Saliency Maps, 2018, <https://arxiv.org/abs/1810.03292>
21. Singh, Amanpreet; Agrawal, Sharan: CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas, 2018, <https://arxiv.org/abs/1810.02833>
22. Kuchera, Michelle P.; Ramanujan, Raghuram; Taylor, Jack Z.; Strauss, Ryan R.; Bazin, Daniel; Bradt, Joshua; Chen, Ruiming: Machine Learning Methods for Track Classification in the AT-TPC, 2018, <https://arxiv.org/abs/1810.10350>
23. Hossain, Md. Zakir; Sohel, Ferdous; Shiratuddin, Mohd Fairuz; Laga, Hamid: A Comprehensive Survey of Deep Learning for Image Captioning, 2018, <https://arxiv.org/abs/1810.04020>
24. Jacobs, Nathan; Kraft, Adam; Rafique, Muhammad Usman; Sharma, Ranti Dev: A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery, 2018, <https://arxiv.org/abs/1810.09528>
25. Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
26. Wang, Yaming; Tan, Xiao; Yang, Yi; Li, Ziyu; Liu, Xiao; Zhou, Feng; Davis, Larry S.: Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories, 2018, <https://arxiv.org/abs/1810.09263>
27. Ramirez, Pierluigi Zama; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano; Di Stefano, Luigi: Geometry meets semantics for semi-supervised monocular depth estimation, 2018, <https://arxiv.org/abs/1810.04093>
28. Lee, Kuan-Hui; Ros, German; Li, Jie; Gaidon, Adrien: SPIGAN: Privileged Adversarial Learning from Simulation, 2018, <https://arxiv.org/abs/1810.03756>
29. Dodds, Eric; Nguyen, Huy; Herdade, Simao; Culpepper, Jack; Kae, Andrew; Garrigues, Pierre: Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling, 2018, <https://arxiv.org/abs/1810.04652>
30. Dai, Dengxin; Van Gool, Luc: Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime, 2018, <https://arxiv.org/abs/1810.02575>
31. Liu, Jing; van der Schot, Gijs; Engblom, Stefan: Supervised Classification Methods for Flash X-ray single particle diffraction Imaging, 2018, <https://arxiv.org/abs/1810.10786>
32. Lee, Namhoon; Ajanthan, Thalaiyasingam; Torr, Philip H. S.: SNIP: Single-shot Network Pruning based on Connection Sensitivity, 2018, <https://arxiv.org/abs/1810.02340>
33. Marin, Javier; Biswas, Aritro; Ofli, Ferda; Hynes, Nicholas; Salvador, Amaia; Aytar, Yusuf; Weber, Ingmar; Torralba, Antonio: Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images, 2018, <https://arxiv.org/abs/1810.06553>
34. Nekrasov, Vladimir; Chen, Hao; Shen, Chunhua; Reid, Ian: Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, 2018, <https://arxiv.org/abs/1810.10804>
35. Kuzin, Artur; Fattakhov, Artur; Kibardin, Ilya; Iglovikov, Vladimir; Dautov, Ruslan: Camera Model Identification Using Convolutional Neural Networks, 2018, <https://arxiv.org/abs/1810.02981>
36. Lee, Namhoon; Ajanthan, Thalaiyasingam; Torr, Philip H. S.: SNIP: Single-shot Network Pruning based on Connection Sensitivity, 2018, <https://arxiv.org/abs/1810.02340>
37. Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
38. Yun, Inyong; Jung, Cheolkon; Wang, Xinran; Hero, Alfred O; Kim, Joongkyu: Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment, 2018, <https://arxiv.org/abs/1810.00689>
39. Prakash, Aayush; Boochoon, Shaad; Brophy, Mark; Acuna, David; Cameracci, Eric; State, Gavriel; Shapira, Omer; Birchfield, Stan: Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data, 2018, <https://arxiv.org/abs/1810.10093>
40. Temel, Dogancan; Lee, Jinsol; AlRegib, Ghassan: CURE-OR: Challenging Unreal and Real Environments for Object Recognition, 2018, <https://arxiv.org/abs/1810.08293>
41. Planche, Benjamin; Zakharov, Sergey; Wu, Ziyan; Hutter, Andreas; Kosch, Harald; Ilic, Slobodan: Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition, 2018, <https://arxiv.org/abs/1810.04158>
42. Shuster, Kurt; Humeau, Samuel; Hu, Hexiang; Bordes, Antoine; Weston, Jason: Engaging Image Captioning Via Personality, 2018, <https://arxiv.org/abs/1810.10665>
43. Chiu, Hsu-kuang; Adeli, Ehsan; Wang, Borui; Huang, De-An; Niebles, Juan Carlos: Action-Agnostic Human Pose Forecasting, 2018, <https://arxiv.org/abs/1810.09676>
44. Girard, Julien; Tamaazousti, Youssef; Borgne, Hervé Le; Hudelot, Céline: Learning Finer-class Networks for Universal Representations, 2018, <https://arxiv.org/abs/1810.02126>
45. Lee, Namhoon; Ajanthan, Thalaiyasingam; Torr, Philip H. S.: SNIP: Single-shot Network Pruning based on Connection Sensitivity, 2018, <https://arxiv.org/abs/1810.02340>
46. Baptista-Ríos, Marcos; López-Sastre, Roberto J.; Acevedo-Rodríguez, Franciso Javier; Maldonado-Bascón, Saturnino: Embarrassingly Simple Model for Early Action Proposal, 2018, <https://arxiv.org/abs/1810.07420>
47. Femling, Frida; Olsson, Adam; Alonso-Fernandez, Fernando: Fruit and Vegetable Identification Using Machine Learning for Retail Applications, 2018, <https://arxiv.org/abs/1810.09811>
48. Lu, Changsheng; Xia, Siyu; Shao, Ming; Fu, Yun: High-quality Ellipse Detection Based on Arc-support Line Segments, 2018, <https://arxiv.org/abs/1810.03243>
49. Kuzin, Artur; Fattakhov, Artur; Kibardin, Ilya; Iglovikov, Vladimir; Dautov, Ruslan: Camera Model Identification Using Convolutional Neural Networks, 2018, <https://arxiv.org/abs/1810.02981>
50. Ekström, Simon; Malmberg, Filip; Ahlström, Håkan; Kullberg, Joel; Strand, Robin: Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images, 2018, <https://arxiv.org/abs/1810.08427>
51. Jacobs, Nathan; Kraft, Adam; Rafique, Muhammad Usman; Sharma, Ranti Dev: A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery, 2018, <https://arxiv.org/abs/1810.09528>
52. Tonioni, Alessio; Tosi, Fabio; Poggi, Matteo; Mattoccia, Stefano; Di Stefano, Luigi: Real-time self-adaptive deep stereo, 2018, <https://arxiv.org/abs/1810.05424>
53. Wang, Lijun; Shen, Xiaohui; Zhang, Jianming; Wang, Oliver; Lin, Zhe; Hsieh, Chih-Yao; Kong, Sarah; Lu, Huchuan: DeepLens: Shallow Depth Of Field From A Single Image, 2018, <https://arxiv.org/abs/1810.08100>
54. Lu, Changsheng; Xia, Siyu; Shao, Ming; Fu, Yun: High-quality Ellipse Detection Based on Arc-support Line Segments, 2018, <https://arxiv.org/abs/1810.03243>
55. Manhardt, Fabian; Kehl, Wadim; Navab, Nassir; Tombari, Federico: Deep Model-Based 6D Pose Refinement in RGB, 2018, <https://arxiv.org/abs/1810.03065>
56. Lee, Kuan-Hui; Ros, German; Li, Jie; Gaidon, Adrien: SPIGAN: Privileged Adversarial Learning from Simulation, 2018, <https://arxiv.org/abs/1810.03756>
57. Zhuang, Zijie; Ai, Haizhou; Chen, Long; Shang, Chong: Cross-Resolution Person Re-identification with Deep Antithetical Learning, 2018, <https://arxiv.org/abs/1810.10221>
58. Lu, Zhiwu; Guan, Jiechao; Li, Aoxue; Xiang, Tao; Zhao, An; Wen, Ji-Rong: Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning, 2018, <https://arxiv.org/abs/1810.08332>
59. Koenig, Jonas; Malberg, Simon; Martens, Martin; Niehaus, Sebastian; Krohn-Grimberghe, Artus; Ramaswamy, Arunselvan: Multi-Stage Reinforcement Learning For Object Detection, 2018, <https://arxiv.org/abs/1810.10325>
60. Wang, Hai; Williams, Jason D.; Kang, SingBing: Learning to Globally Edit Images with Textual Description, 2018, <https://arxiv.org/abs/1810.05786>
61. Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
62. Chiu, Hsu-kuang; Adeli, Ehsan; Wang, Borui; Huang, De-An; Niebles, Juan Carlos: Action-Agnostic Human Pose Forecasting, 2018, <https://arxiv.org/abs/1810.09676>
63. Yu, Xiaoming; Cai, Xing; Ying, Zhenqiang; Li, Thomas; Li, Ge: SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning, 2018, <https://arxiv.org/abs/1810.04991>
64. Mei, Kangfu; Jiang, Aiwen; Li, Juncheng; Ye, Jihua; Wang, Mingwen: An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks, 2018, <https://arxiv.org/abs/1810.01831>
65. Insafutdinov, Eldar; Dosovitskiy, Alexey: Unsupervised Learning of Shape and Pose with Differentiable Point Clouds, 2018, <https://arxiv.org/abs/1810.09381>
66. Gonthier, Nicolas; Gousseau, Yann; Ladjal, Said; Bonfait, Olivier: Weakly Supervised Object Detection in Artworks, 2018, <https://arxiv.org/abs/1810.02569>
67. Liu, Risheng; Ma, Long; Wang, Yiyang; Zhang, Lei: Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement, 2018, <https://arxiv.org/abs/1810.04012>
68. Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša: Stochastic Distance Transform, 2018, <https://arxiv.org/abs/1810.08097>
69. Rocco, Ignacio; Cimpoi, Mircea; Arandjelović, Relja; Torii, Akihiko; Pajdla, Tomas; Sivic, Josef: Neighbourhood Consensus Networks, 2018, <https://arxiv.org/abs/1810.10510>
70. Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
71. Manhardt, Fabian; Kehl, Wadim; Navab, Nassir; Tombari, Federico: Deep Model-Based 6D Pose Refinement in RGB, 2018, <https://arxiv.org/abs/1810.03065>
72. Wang, Lijun; Shen, Xiaohui; Zhang, Jianming; Wang, Oliver; Lin, Zhe; Hsieh, Chih-Yao; Kong, Sarah; Lu, Huchuan: DeepLens: Shallow Depth Of Field From A Single Image, 2018, <https://arxiv.org/abs/1810.08100>
73. Lee, Namhoon; Ajanthan, Thalaiyasingam; Torr, Philip H. S.: SNIP: Single-shot Network Pruning based on Connection Sensitivity, 2018, <https://arxiv.org/abs/1810.02340>
74. Cho, Hyunjoong; Jang, Jinhyeok; Lee, Chanhyeok; Yang, Seungjoon: Optimal Architecture for Deep Neural Networks with Heterogeneous Sensitivity, 2018, <https://arxiv.org/abs/1810.05358>
75. Liao, Zhibin; Drummond, Tom; Reid, Ian; Carneiro, Gustavo: Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks, 2018, <https://arxiv.org/abs/1810.06767>
76. Cheng, Xinjing; Wang, Peng; Yang, Ruigang: Learning Depth with Convolutional Spatial Propagation Network, 2018, <https://arxiv.org/abs/1810.02695>
77. Rocco, Ignacio; Cimpoi, Mircea; Arandjelović, Relja; Torii, Akihiko; Pajdla, Tomas; Sivic, Josef: Neighbourhood Consensus Networks, 2018, <https://arxiv.org/abs/1810.10510>
78. Ge, Weifeng; Huang, Weilin; Dong, Dengke; Scott, Matthew R.: Deep Metric Learning with Hierarchical Triplet Loss, 2018, <https://arxiv.org/abs/1810.06951>
79. Cho, Hyunjoong; Jang, Jinhyeok; Lee, Chanhyeok; Yang, Seungjoon: Optimal Architecture for Deep Neural Networks with Heterogeneous Sensitivity, 2018, <https://arxiv.org/abs/1810.05358>
80. Cheng, Ruiqi; Wang, Kaiwei; Lin, Longqing; Yang, Kailun: Visual Localization of Key Positions for Visually Impaired People, 2018, <https://arxiv.org/abs/1810.03790>
81. Chou, Hsin-Rung; Lee, Jia-Hong; Chan, Yi-Ming; Chen, Chu-Song: Data-specific Adaptive Threshold for Face Recognition and Authentication, 2018, <https://arxiv.org/abs/1810.11160>
82. Mustaniemi, Janne; Kannala, Juho; Särkkä, Simo; Matas, Jiri; Heikkilä, Janne: Gyroscope-Aided Motion Deblurring with Deep Networks, 2018, <https://arxiv.org/abs/1810.00986>
83. Buchholz, Tim-Oliver; Jordan, Mareike; Pigino, Gaia; Jug, Florian: Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data, 2018, <https://arxiv.org/abs/1810.05420>
84. "Tarroni, Giacomo; Oktay, Ozan; Sinclair, Matthew; Bai, Wenjia; Schuh, Andreas; Suzuki, Hideaki; de Marvao, Antonio; O'Regan, Declan; Cook, Stuart; Rueckert, Daniel;: A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks, 2018, <https://arxiv.org/abs/1810.02201>
85. Cho, Hyunjoong; Jang, Jinhyeok; Lee, Chanhyeok; Yang, Seungjoon: Optimal Architecture for Deep Neural Networks with Heterogeneous Sensitivity, 2018, <https://arxiv.org/abs/1810.05358>
86. Liu, Yuanliu; Li, Ang; Yuan, Zejian; Chen, Badong; Zheng, Nanning: Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition, 2018, <https://arxiv.org/abs/1810.09706>
87. Hong, Danfeng; Yokoya, Naoto; Chanussot, Jocelyn; Zhu, Xiao Xiang: An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing, 2018, <https://arxiv.org/abs/1810.12000>
88. Park, Ji Hwan; Nadeem, Saad; Mirhosseini, Seyedkoosha; Kaufman, Arie: C2A: Crowd Consensus Analytics for Virtual Colonoscopy, 2018, <https://arxiv.org/abs/1810.09012>
89. Tang, Wei; Li, Teng; Nian, Fudong; Wang, Meng: MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation, 2018, <https://arxiv.org/abs/1810.08534>
90. Insafutdinov, Eldar; Dosovitskiy, Alexey: Unsupervised Learning of Shape and Pose with Differentiable Point Clouds, 2018, <https://arxiv.org/abs/1810.09381>
91. Corona, Enric; Kundu, Kaustav; Fidler, Sanja: Pose Estimation for Objects with Rotational Symmetry, 2018, <https://arxiv.org/abs/1810.05780>
92. Insafutdinov, Eldar; Dosovitskiy, Alexey: Unsupervised Learning of Shape and Pose with Differentiable Point Clouds, 2018, <https://arxiv.org/abs/1810.09381>
93. Qi, Lu; Liu, Shu; Shi, Jianping; Jia, Jiaya: Sequential Context Encoding for Duplicate Removal, 2018, <https://arxiv.org/abs/1810.08770>
94. Torosdagli, Neslisah; Liberton, Denise K.; Verma, Payal; Sincan, Murat; Lee, Janice S.; Bagci, Ulas: Deep Geodesic Learning for Segmentation and Anatomical Landmarking, 2018, <https://arxiv.org/abs/1810.04021>
95. Liu, Risheng; Ma, Long; Wang, Yiyang; Zhang, Lei: Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement, 2018, <https://arxiv.org/abs/1810.04012>
96. Kuchera, Michelle P.; Ramanujan, Raghuram; Taylor, Jack Z.; Strauss, Ryan R.; Bazin, Daniel; Bradt, Joshua; Chen, Ruiming: Machine Learning Methods for Track Classification in the AT-TPC, 2018, <https://arxiv.org/abs/1810.10350>
97. Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša: Stochastic Distance Transform, 2018, <https://arxiv.org/abs/1810.08097>
98. Lee, Namhoon; Ajanthan, Thalaiyasingam; Torr, Philip H. S.: SNIP: Single-shot Network Pruning based on Connection Sensitivity, 2018, <https://arxiv.org/abs/1810.02340>
99. Jacobs, Nathan; Kraft, Adam; Rafique, Muhammad Usman; Sharma, Ranti Dev: A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery, 2018, <https://arxiv.org/abs/1810.09528>
100.Zhou, Tao; Fang, Chen; Wang, Zhaowen; Yang, Jimei; Kim, Byungmoon; Chen, Zhili; Brandt, Jonathan; Terzopoulos, Demetri: Learning to Sketch with Deep Q Networks and Demonstrated Strokes, 2018, <https://arxiv.org/abs/1810.05977>
101.Cavallari, Tommaso; Golodetz, Stuart; Lord, Nicholas A.; Valentin, Julien; Prisacariu, Victor A.; Di Stefano, Luigi; Torr, Philip H. S.: Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade, 2018, <https://arxiv.org/abs/1810.12163>
102.Chou, Hsin-Rung; Lee, Jia-Hong; Chan, Yi-Ming; Chen, Chu-Song: Data-specific Adaptive Threshold for Face Recognition and Authentication, 2018, <https://arxiv.org/abs/1810.11160>
103.Nam, Seonghyeon; Kim, Yunji; Kim, Seon Joo: Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language, 2018, <https://arxiv.org/abs/1810.11919>
104.Krish, Ram P.; Fierrez, Julian; Ramos, Daniel; Alonso-Fernandez, Fernando; Bigun, Josef: Improving Automated Latent Fingerprint Identification using Extended Minutia Types, 2018, <https://arxiv.org/abs/1810.09801>
105.Kasten, Yoni; Werman, Michael: Two view constraints on the epipoles from few correspondences, 2018, <https://arxiv.org/abs/1810.09496>
106.Varytimidis, Dimitrios; Alonso-Fernandez, Fernando; Duran, Boris; Englund, Cristofer: Action and intention recognition of pedestrians in urban traffic, 2018, <https://arxiv.org/abs/1810.09805>
107.Swofford, Mason: Image Completion on CIFAR-10, 2018, <https://arxiv.org/abs/1810.03213>
108.Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
109.Cuzzolin, Fabio: Visions of a generalized probability theory, 2018, <https://arxiv.org/abs/1810.10341>
110.Wang, Hai; Williams, Jason D.; Kang, SingBing: Learning to Globally Edit Images with Textual Description, 2018, <https://arxiv.org/abs/1810.05786>
111.Temel, Dogancan; Lee, Jinsol; AlRegib, Ghassan: CURE-OR: Challenging Unreal and Real Environments for Object Recognition, 2018, <https://arxiv.org/abs/1810.08293>
112.Swofford, Mason: Image Completion on CIFAR-10, 2018, <https://arxiv.org/abs/1810.03213>
113.Kehl, Christian; Mustafa, Wail; Kehres, Jan; Dahl, Anders Bjorholm; Olsen, Ulrik Lund: Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation, 2018, <https://arxiv.org/abs/1810.11823>
114.Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
115.Yu, Fuxun; Qin, Zhuwei; Chen, Xiang: Distilling Critical Paths in Convolutional Neural Networks, 2018, <https://arxiv.org/abs/1811.02643>
116.Wolterink, Jelmer M.; van Hamersvelt, Robbert W.; Viergever, Max A.; Leiner, Tim; Išgum, Ivana: Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier, 2018, <https://arxiv.org/abs/1810.03143>
117.Mao, Wendong; Wang, Mingjie; Zhou, Jun; Gong, Minglun: Semi-dense Stereo Matching using Dual CNNs, 2018, <https://arxiv.org/abs/1810.01369>
118.Nekrasov, Vladimir; Shen, Chunhua; Reid, Ian: Light-Weight RefineNet for Real-Time Semantic Segmentation, 2018, <https://arxiv.org/abs/1810.03272>
119.Daudt, Rodrigo Caye; Saux, Bertrand Le; Boulch, Alexandre: Fully Convolutional Siamese Networks for Change Detection, 2018, <https://arxiv.org/abs/1810.08462>
120.Kehl, Christian; Mustafa, Wail; Kehres, Jan; Dahl, Anders Bjorholm; Olsen, Ulrik Lund: Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation, 2018, <https://arxiv.org/abs/1810.11823>
121.Noothout, Julia M. H.; de Vos, Bob D.; Wolterink, Jelmer M.; Isgum, Ivana: Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT, 2018, <https://arxiv.org/abs/1810.05727>
122.Kalash, Mahmoud; Islam, Md Amirul; Bruce, Neil D. B.: Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks, 2018, <https://arxiv.org/abs/1810.02426>
123.Lee, Sang Jun; Kim, Sang Woo; Kwon, Wookyong; Koo, Gyogwon; Yun, Jong Pil: Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System, 2018, <https://arxiv.org/abs/1810.04029>
124.Nadeem, Saad; Kaufman, Arie: Visualization Framework for Colonoscopy Videos, 2018, <https://arxiv.org/abs/1810.08998>
125.Zou, Yang; Yu, Zhiding; Kumar, B. V. K. Vijaya; Wang, Jinsong: Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training, 2018, <https://arxiv.org/abs/1810.07911>
126.Corona, Enric; Kundu, Kaustav; Fidler, Sanja: Pose Estimation for Objects with Rotational Symmetry, 2018, <https://arxiv.org/abs/1810.05780>
127.Dong, Haoye; Liang, Xiaodan; Gong, Ke; Lai, Hanjiang; Zhu, Jia; Yin, Jian: Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis, 2018, <https://arxiv.org/abs/1810.11610>
128.Ma, Minghuang; Pouransari, Hadi; Chao, Daniel; Adya, Saurabh; Serrano, Santiago Akle; Qin, Yi; Gimnicher, Dan; Walsh, Dominic: Democratizing Production-Scale Distributed Deep Learning, 2018, <https://arxiv.org/abs/1811.00143>
129.Sarwar, Omair; Rinner, Bernhard; Cavallaro, Andrea: Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures, 2018, <https://arxiv.org/abs/1810.12435>
130.Mei, Kangfu; Jiang, Aiwen; Li, Juncheng; Ye, Jihua; Wang, Mingwen: An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks, 2018, <https://arxiv.org/abs/1810.01831>
131.Insafutdinov, Eldar; Dosovitskiy, Alexey: Unsupervised Learning of Shape and Pose with Differentiable Point Clouds, 2018, <https://arxiv.org/abs/1810.09381>
132.Lee, Namhoon; Ajanthan, Thalaiyasingam; Torr, Philip H. S.: SNIP: Single-shot Network Pruning based on Connection Sensitivity, 2018, <https://arxiv.org/abs/1810.02340>
133.Qian, Kun; Zhou, Jun; Xiong, Fengchao; Zhou, Huixin; Du, Juan: Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter, 2018, <https://arxiv.org/abs/1810.11819>
134.Liu, Shenglan; Liu, Xiang; Liu, Yang; Feng, Lin; Qiao, Hong; Zhou, Jian; Wang, Yang: Perceptual Visual Interactive Learning, 2018, <https://arxiv.org/abs/1810.10789>
135.Chen, Min; Song, Andy; Yhanandan, Shivanthan A. C.; Zhang, Jing: Background Subtraction using Compressed Low-resolution Images, 2018, <https://arxiv.org/abs/1810.10155>
136.Stamatescu, Victor; McDonnell, Mark D.: Diagnosing Convolutional Neural Networks using their Spectral Response, 2018, <https://arxiv.org/abs/1810.03241>
137.Ge, Weifeng; Huang, Weilin; Dong, Dengke; Scott, Matthew R.: Deep Metric Learning with Hierarchical Triplet Loss, 2018, <https://arxiv.org/abs/1810.06951>
138.Lei, Yiming; Tian, Yukun; Shan, Hongming; Zhang, Junping; Wang, Ge; Kalra, Mannudeep: Soft Activation Mapping of Lung Nodules in Low-Dose CT images, 2018, <https://arxiv.org/abs/1810.12494>
139.Zhou, Tao; Fang, Chen; Wang, Zhaowen; Yang, Jimei; Kim, Byungmoon; Chen, Zhili; Brandt, Jonathan; Terzopoulos, Demetri: Learning to Sketch with Deep Q Networks and Demonstrated Strokes, 2018, <https://arxiv.org/abs/1810.05977>
140.Dai, Dengxin; Van Gool, Luc: Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime, 2018, <https://arxiv.org/abs/1810.02575>
141.Kuo, C. -C. Jay; Zhang, Min; Li, Siyang; Duan, Jiali; Chen, Yueru: Interpretable Convolutional Neural Networks via Feedforward Design, 2018, <https://arxiv.org/abs/1810.02786>
142.Ling, Suiyi; Gutiérrez, Jesús; Ke, Gu; Callet, Patrick Le: Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos, 2018, <https://arxiv.org/abs/1810.04409>
143.Ghiasi, Golnaz; Lin, Tsung-Yi; Le, Quoc V.: DropBlock: A regularization method for convolutional networks, 2018, <https://arxiv.org/abs/1810.12890>
144.Meng, Lili; Zhao, Bo; Chang, Bo; Huang, Gao; Tung, Frederick; Sigal, Leonid: Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos, 2018, <https://arxiv.org/abs/1810.04511>


### montage 12x12 stat.ML October 2012

1.  Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
2.  Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
3.  Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
4.  Balasubramanian, Krishnakumar; Yu, Kai; Lebanon, Guy: Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations, 2012, <https://arxiv.org/abs/1210.1121>
5.  Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
6.  Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
7.  Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
8.  Carpentier, Alexandra; Munos, Rémi: Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions, 2012, <https://arxiv.org/abs/1210.5345>
9.  Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
10. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
11. Nguyen, Jennifer; Zhu, Mu: Content-boosted Matrix Factorization Techniques for Recommender Systems, 2012, <https://arxiv.org/abs/1210.5631>
12. Kolchinsky, Artemy; Lourenço, Anália; Li, Lang; Rocha, Luis M.: Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions, 2012, <https://arxiv.org/abs/1210.0734>
13. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
14. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
15. Gong, Pinghua; Ye, Jieping; Zhang, Changshui: Multi-Stage Multi-Task Feature Learning, 2012, <https://arxiv.org/abs/1210.5806>
16. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
17. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
18. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
19. Grandvalet, Yves; Chiquet, Julien; Ambroise, Christophe: Sparsity by Worst-Case Penalties, 2012, <https://arxiv.org/abs/1210.2077>
20. Topa, Hande; Honkela, Antti: Gaussian process modelling of multiple short time series, 2012, <https://arxiv.org/abs/1210.2503>
21. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
22. Carpentier, Alexandra; Munos, Rémi: Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions, 2012, <https://arxiv.org/abs/1210.5345>
23. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
24. Häusler, Chris; Susemihl, Alex: Temporal Autoencoding Restricted Boltzmann Machine, 2012, <https://arxiv.org/abs/1210.8353>
25. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
26. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
27. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
28. Kumar, Abhishek; Sindhwani, Vikas; Kambadur, Prabhanjan: Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization, 2012, <https://arxiv.org/abs/1210.1190>
29. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
30. Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
31. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
32. Hisano, Ryohei; Sornette, Didier; Mizuno, Takayuki; Ohnishi, Takaaki; Watanabe, Tsutomu: High quality topic extraction from business news explains abnormal financial market volatility, 2012, <https://arxiv.org/abs/1210.6321>
33. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
34. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
35. Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
36. Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
37. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
38. Aksu, Yaman: Fast SVM-based Feature Elimination Utilizing Data Radius, Hard-Margin, Soft-Margin, 2012, <https://arxiv.org/abs/1210.4460>
39. Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
40. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
41. Gong, Pinghua; Ye, Jieping; Zhang, Changshui: Multi-Stage Multi-Task Feature Learning, 2012, <https://arxiv.org/abs/1210.5806>
42. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
43. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
44. Kolchinsky, Artemy; Lourenço, Anália; Li, Lang; Rocha, Luis M.: Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions, 2012, <https://arxiv.org/abs/1210.0734>
45. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
46. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
47. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
48. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
49. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
50. Aksu, Yaman: Fast SVM-based Feature Elimination Utilizing Data Radius, Hard-Margin, Soft-Margin, 2012, <https://arxiv.org/abs/1210.4460>
51. Hisano, Ryohei; Sornette, Didier; Mizuno, Takayuki; Ohnishi, Takaaki; Watanabe, Tsutomu: High quality topic extraction from business news explains abnormal financial market volatility, 2012, <https://arxiv.org/abs/1210.6321>
52. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
53. Aksu, Yaman: Fast SVM-based Feature Elimination Utilizing Data Radius, Hard-Margin, Soft-Margin, 2012, <https://arxiv.org/abs/1210.4460>
54. Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
55. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
56. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
57. Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
58. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
59. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
60. Grandvalet, Yves; Chiquet, Julien; Ambroise, Christophe: Sparsity by Worst-Case Penalties, 2012, <https://arxiv.org/abs/1210.2077>
61. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
62. Häusler, Chris; Susemihl, Alex: Temporal Autoencoding Restricted Boltzmann Machine, 2012, <https://arxiv.org/abs/1210.8353>
63. Sindhwani, Vikas; Quang, Minh Ha; Lozano, Aurelie C.: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality, 2012, <https://arxiv.org/abs/1210.4792>
64. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
65. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
66. Aksu, Yaman: Fast SVM-based Feature Elimination Utilizing Data Radius, Hard-Margin, Soft-Margin, 2012, <https://arxiv.org/abs/1210.4460>
67. Sindhwani, Vikas; Quang, Minh Ha; Lozano, Aurelie C.: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality, 2012, <https://arxiv.org/abs/1210.4792>
68. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
69. Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
70. Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
71. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
72. Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
73. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
74. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
75. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
76. Grandvalet, Yves; Chiquet, Julien; Ambroise, Christophe: Sparsity by Worst-Case Penalties, 2012, <https://arxiv.org/abs/1210.2077>
77. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
78. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
79. Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
80. Sindhwani, Vikas; Quang, Minh Ha; Lozano, Aurelie C.: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality, 2012, <https://arxiv.org/abs/1210.4792>
81. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
82. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
83. Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
84. Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
85. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
86. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
87. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
88. Sindhwani, Vikas; Quang, Minh Ha; Lozano, Aurelie C.: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality, 2012, <https://arxiv.org/abs/1210.4792>
89. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
90. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
91. Topa, Hande; Honkela, Antti: Gaussian process modelling of multiple short time series, 2012, <https://arxiv.org/abs/1210.2503>
92. Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
93. Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
94. Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
95. Hisano, Ryohei; Sornette, Didier; Mizuno, Takayuki; Ohnishi, Takaaki; Watanabe, Tsutomu: High quality topic extraction from business news explains abnormal financial market volatility, 2012, <https://arxiv.org/abs/1210.6321>
96. Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
97. Topa, Hande; Honkela, Antti: Gaussian process modelling of multiple short time series, 2012, <https://arxiv.org/abs/1210.2503>
98. Xu, Zhixiang; Kusner, Matt J.; Weinberger, Kilian Q.; Chen, Minmin: Cost-Sensitive Tree of Classifiers, 2012, <https://arxiv.org/abs/1210.2771>
99. Grandvalet, Yves; Chiquet, Julien; Ambroise, Christophe: Sparsity by Worst-Case Penalties, 2012, <https://arxiv.org/abs/1210.2077>
100.Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
101.Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
102.Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
103.Grandvalet, Yves; Chiquet, Julien; Ambroise, Christophe: Sparsity by Worst-Case Penalties, 2012, <https://arxiv.org/abs/1210.2077>
104.Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
105.Topa, Hande; Honkela, Antti: Gaussian process modelling of multiple short time series, 2012, <https://arxiv.org/abs/1210.2503>
106.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
107.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
108.Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
109.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
110.Xu, Zhixiang; Kusner, Matt J.; Weinberger, Kilian Q.; Chen, Minmin: Cost-Sensitive Tree of Classifiers, 2012, <https://arxiv.org/abs/1210.2771>
111.Häusler, Chris; Susemihl, Alex: Temporal Autoencoding Restricted Boltzmann Machine, 2012, <https://arxiv.org/abs/1210.8353>
112.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
113.Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
114.Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
115.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
116.Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
117.Häusler, Chris; Susemihl, Alex: Temporal Autoencoding Restricted Boltzmann Machine, 2012, <https://arxiv.org/abs/1210.8353>
118.Hisano, Ryohei; Sornette, Didier; Mizuno, Takayuki; Ohnishi, Takaaki; Watanabe, Tsutomu: High quality topic extraction from business news explains abnormal financial market volatility, 2012, <https://arxiv.org/abs/1210.6321>
119.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
120.Lebichot, Bertrand; Kivimäki, Ilkka; Françoisse, Kevin; Saerens, Marco: Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness, 2012, <https://arxiv.org/abs/1210.4276>
121.Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
122.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
123.Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
124.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
125.Than, Khoat; Ho, Tu Bao: Managing sparsity, time, and quality of inference in topic models, 2012, <https://arxiv.org/abs/1210.7053>
126.Aksu, Yaman: Fast SVM-based Feature Elimination Utilizing Data Radius, Hard-Margin, Soft-Margin, 2012, <https://arxiv.org/abs/1210.4460>
127.Desjardins, Guillaume; Courville, Aaron; Bengio, Yoshua: Disentangling Factors of Variation via Generative Entangling, 2012, <https://arxiv.org/abs/1210.5474>
128.Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
129.Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
130.Häusler, Chris; Susemihl, Alex: Temporal Autoencoding Restricted Boltzmann Machine, 2012, <https://arxiv.org/abs/1210.8353>
131.Kolchinsky, Artemy; Lourenço, Anália; Li, Lang; Rocha, Luis M.: Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions, 2012, <https://arxiv.org/abs/1210.0734>
132.Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
133.Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
134.Sindhwani, Vikas; Quang, Minh Ha; Lozano, Aurelie C.: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality, 2012, <https://arxiv.org/abs/1210.4792>
135.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
136.Than, Khoat; Ho, Tu Bao: Managing sparsity, time, and quality of inference in topic models, 2012, <https://arxiv.org/abs/1210.7053>
137.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
138.Gong, Pinghua; Ye, Jieping; Zhang, Changshui: Multi-Stage Multi-Task Feature Learning, 2012, <https://arxiv.org/abs/1210.5806>
139.Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
140.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
141.Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
142.Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
143.Zhang, Youwei; Ghaoui, Laurent El: Large-Scale Sparse Principal Component Analysis with Application to Text Data, 2012, <https://arxiv.org/abs/1210.7054>
144.Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>


### montage 12x12 cs.AI 2012

1.  Preen, Richard J.; Bull, Larry: Discrete Dynamical Genetic Programming in XCS, 2012, <https://arxiv.org/abs/1204.4200>
2.  Bouvrie, Jake; Maggioni, Mauro: Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning, 2012, <https://arxiv.org/abs/1212.1143>
3.  Calimeri, Francesco; Ianni, Giovambattista; Ricca, Francesco: The third open Answer Set Programming competition, 2012, <https://arxiv.org/abs/1206.3111>
4.  Dey, Debadeepta; Liu, Tian Yu; Hebert, Martial; Bagnell, J. Andrew: Predicting Contextual Sequences via Submodular Function Maximization, 2012, <https://arxiv.org/abs/1202.2112>
5.  Preen, Richard J.; Bull, Larry: Discrete Dynamical Genetic Programming in XCS, 2012, <https://arxiv.org/abs/1204.4200>
6.  Nguyen, Truong-Huy Dinh; Lee, Wee-Sun; Leong, Tze-Yun: Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic, 2012, <https://arxiv.org/abs/1206.5940>
7.  Rodler, Patrick; Shchekotykhin, Kostyantyn; Fleiss, Philipp; Friedrich, Gerhard: RIO: Minimizing User Interaction in Ontology Debugging, 2012, <https://arxiv.org/abs/1209.3734>
8.  Loshchilov, Ilya; Schoenauer, Marc; Sebag, Michèle: Alternative Restart Strategies for CMA-ES, 2012, <https://arxiv.org/abs/1207.0206>
9.  Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
10. Natarajan, Prabhu; Hoang, Trong Nghia; Low, Kian Hsiang; Kankanhalli, Mohan: Decision-Theoretic Coordination and Control for Active Multi-Camera Surveillance in Uncertain, Partially Observable Environments, 2012, <https://arxiv.org/abs/1209.4275>
11. Edelkamp, Stefan; Kissmann, Peter; Torralba, Álvaro: Lex-Partitioning: A New Option for BDD Search, 2012, <https://arxiv.org/abs/1210.6415>
12. Zhao, Qibin; Caiafa, Cesar F.; Mandic, Danilo P.; Chao, Zenas C.; Nagasaka, Yasuo; Fujii, Naotaka; Zhang, Liqing; Cichocki, Andrzej: Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method, 2012, <https://arxiv.org/abs/1207.1230>
13. Blanchard, Frédéric; Herbin, Michel: Relational Data Mining Through Extraction of Representative Exemplars, 2012, <https://arxiv.org/abs/1207.0833>
14. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
15. Katsirelos, George; Narodytska, Nina; Walsh, Toby: The SeqBin Constraint Revisited, 2012, <https://arxiv.org/abs/1207.1811>
16. Nguyen, Truong-Huy Dinh; Hsu, David; Lee, Wee-Sun; Leong, Tze-Yun; Kaelbling, Leslie Pack; Lozano-Perez, Tomas; Grant, Andrew Haydn: CAPIR: Collaborative Action Planning with Intention Recognition, 2012, <https://arxiv.org/abs/1206.5928>
17. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
18. Pintea, Camelia-M.; Chira, Camelia; Dumitrescu, D.: New results of ant algorithms for the Linear Ordering Problem, 2012, <https://arxiv.org/abs/1208.5340>
19. Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean; Meilender, Thomas; Nauer, Emmanuel: Semi-automatic annotation process for procedural texts: An application on cooking recipes, 2012, <https://arxiv.org/abs/1209.5663>
20. Khouadjia, Mostepha Redouane; Schoenauer, Marc; Vidal, Vincent; Dréo, Johann; Savéant, Pierre: Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark, 2012, <https://arxiv.org/abs/1212.5276>
21. Jung, Tobias; Stone, Peter: Feature Selection for Value Function Approximation Using Bayesian Model Selection, 2012, <https://arxiv.org/abs/1201.6615>
22. Jung, Tobias; Polani, Daniel; Stone, Peter: Empowerment for Continuous Agent-Environment Systems, 2012, <https://arxiv.org/abs/1201.6583>
23. Zhang, Pan; Ramezanpour, Abolfazl; Zdeborová, Lenka; Zecchina, Riccardo: Message passing for quantified Boolean formulas, 2012, <https://arxiv.org/abs/1202.2536>
24. Preen, Richard J.; Bull, Larry: Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system, 2012, <https://arxiv.org/abs/1201.5604>
25. Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
26. Xu, Zilong; Min, Fan; Zhu, William: Cost-sensitive C4.5 with post-pruning and competition, 2012, <https://arxiv.org/abs/1211.4122>
27. Henriques, Rui; Lynce, Inês; Manquinho, Vasco: On When and How to use SAT to Mine Frequent Itemsets, 2012, <https://arxiv.org/abs/1207.6253>
28. Nguyen, Truong-Huy Dinh; Hsu, David; Lee, Wee-Sun; Leong, Tze-Yun; Kaelbling, Leslie Pack; Lozano-Perez, Tomas; Grant, Andrew Haydn: CAPIR: Collaborative Action Planning with Intention Recognition, 2012, <https://arxiv.org/abs/1206.5928>
29. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
30. Martins, Andre F. T.; Figueiredo, Mario A. T.; Aguiar, Pedro M. Q.; Smith, Noah A.; Xing, Eric P.: Alternating Directions Dual Decomposition, 2012, <https://arxiv.org/abs/1212.6550>
31. Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
32. Kishimoto, Akihiro; Fukunaga, Alex; Botea, Adi: Evaluation of a Simple, Scalable, Parallel Best-First Search Strategy, 2012, <https://arxiv.org/abs/1201.3204>
33. Edelkamp, Stefan; Kissmann, Peter; Torralba, Álvaro: Lex-Partitioning: A New Option for BDD Search, 2012, <https://arxiv.org/abs/1210.6415>
34. Niepert, Mathias: Markov Chains on Orbits of Permutation Groups, 2012, <https://arxiv.org/abs/1206.5396>
35. Murtagh, Fionn: Ultrametric Model of Mind, I: Review, 2012, <https://arxiv.org/abs/1201.2711>
36. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
37. Schutt, Andreas; Feydy, Thibaut; Stuckey, Peter J.: Explaining Time-Table-Edge-Finding Propagation for the Cumulative Resource Constraint, 2012, <https://arxiv.org/abs/1208.3015>
38. Koutník, Jan; Schmidhuber, Juergen; Gomez, Faustino: A Frequency-Domain Encoding for Neuroevolution, 2012, <https://arxiv.org/abs/1212.6521>
39. Martins, Andre F. T.; Figueiredo, Mario A. T.; Aguiar, Pedro M. Q.; Smith, Noah A.; Xing, Eric P.: Alternating Directions Dual Decomposition, 2012, <https://arxiv.org/abs/1212.6550>
40. Alviano, Mario; Faber, Wolfgang; Greco, Gianluigi; Leone, Nicola: Magic Sets for Disjunctive Datalog Programs, 2012, <https://arxiv.org/abs/1204.6346>
41. Feldman, Zohar; Domshlak, Carmel: Simple Regret Optimization in Online Planning for Markov Decision Processes, 2012, <https://arxiv.org/abs/1206.3382>
42. Bellemare, Marc G.; Naddaf, Yavar; Veness, Joel; Bowling, Michael: The Arcade Learning Environment: An Evaluation Platform for General Agents, 2012, <https://arxiv.org/abs/1207.4708>
43. Srivastava, Rupesh Kumar; Steunebrink, Bas R.; Schmidhuber, Jürgen: First Experiments with PowerPlay, 2012, <https://arxiv.org/abs/1210.8385>
44. Henriques, Rui; Lynce, Inês; Manquinho, Vasco: On When and How to use SAT to Mine Frequent Itemsets, 2012, <https://arxiv.org/abs/1207.6253>
45. Skarlatidis, Anastasios; Artikis, Alexander; Filippou, Jason; Paliouras, Georgios: A Probabilistic Logic Programming Event Calculus, 2012, <https://arxiv.org/abs/1204.1851>
46. Belkin, Mikhail; Que, Qichao; Wang, Yusu; Zhou, Xueyuan: Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries, 2012, <https://arxiv.org/abs/1211.6727>
47. Edelkamp, Stefan; Kissmann, Peter; Torralba, Álvaro: Lex-Partitioning: A New Option for BDD Search, 2012, <https://arxiv.org/abs/1210.6415>
48. De Bock, Jasper; de Cooman, Gert: An efficient algorithm for estimating state sequences in imprecise hidden Markov models, 2012, <https://arxiv.org/abs/1210.1791>
49. Bowling, Michael; Zinkevich, Martin: On Local Regret, 2012, <https://arxiv.org/abs/1206.3318>
50. Blanchard, Frédéric; Herbin, Michel: Relational Data Mining Through Extraction of Representative Exemplars, 2012, <https://arxiv.org/abs/1207.0833>
51. Xu, Jun-Ming; Bhargava, Aniruddha; Nowak, Robert; Zhu, Xiaojin: Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media, 2012, <https://arxiv.org/abs/1204.2248>
52. Edelkamp, Stefan; Kissmann, Peter; Torralba, Álvaro: Lex-Partitioning: A New Option for BDD Search, 2012, <https://arxiv.org/abs/1210.6415>
53. Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
54. Böhmer, Wendelin: Robot Navigation using Reinforcement Learning and Slow Feature Analysis, 2012, <https://arxiv.org/abs/1205.0986>
55. Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean; Meilender, Thomas; Nauer, Emmanuel: Semi-automatic annotation process for procedural texts: An application on cooking recipes, 2012, <https://arxiv.org/abs/1209.5663>
56. Martins, Andre F. T.; Figueiredo, Mario A. T.; Aguiar, Pedro M. Q.; Smith, Noah A.; Xing, Eric P.: Alternating Directions Dual Decomposition, 2012, <https://arxiv.org/abs/1212.6550>
57. Stuhlmüller, Andreas; Goodman, Noah D.: A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs, 2012, <https://arxiv.org/abs/1206.3555>
58. Xu, Zilong; Min, Fan; Zhu, William: Cost-sensitive C4.5 with post-pruning and competition, 2012, <https://arxiv.org/abs/1211.4122>
59. Boloni, Ladislau: Modeling problems of identity in Little Red Riding Hood, 2012, <https://arxiv.org/abs/1211.5644>
60. Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
61. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
62. Zhao, Qibin; Caiafa, Cesar F.; Mandic, Danilo P.; Chao, Zenas C.; Nagasaka, Yasuo; Fujii, Naotaka; Zhang, Liqing; Cichocki, Andrzej: Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method, 2012, <https://arxiv.org/abs/1207.1230>
63. Grzes, Marek; Hoey, Jesse; Khan, Shehroz; Mihailidis, Alex; Czarnuch, Stephen; Jackson, Dan; Monk, Andrew: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model, 2012, <https://arxiv.org/abs/1206.5698>
64. Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean: Extension du formalisme des flux op\\'erationnels par une alg\\\`ebre temporelle, 2012, <https://arxiv.org/abs/1209.5664>
65. Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean; Meilender, Thomas; Nauer, Emmanuel: Semi-automatic annotation process for procedural texts: An application on cooking recipes, 2012, <https://arxiv.org/abs/1209.5663>
66. Čáp, Michal; Novák, Peter; Vokřínek, Jiří; Pěchouček, Michal: Asynchronous Decentralized Algorithm for Space-Time Cooperative Pathfinding, 2012, <https://arxiv.org/abs/1210.6855>
67. Frasconi, Paolo; Costa, Fabrizio; De Raedt, Luc; De Grave, Kurt: kLog: A Language for Logical and Relational Learning with Kernels, 2012, <https://arxiv.org/abs/1205.3981>
68. Skarlatidis, Anastasios; Artikis, Alexander; Filippou, Jason; Paliouras, Georgios: A Probabilistic Logic Programming Event Calculus, 2012, <https://arxiv.org/abs/1204.1851>
69. Calimeri, Francesco; Ianni, Giovambattista; Ricca, Francesco: The third open Answer Set Programming competition, 2012, <https://arxiv.org/abs/1206.3111>
70. Shao, Louis Yuanlong: Linear-Nonlinear-Poisson Neuron Networks Perform Bayesian Inference On Boltzmann Machines, 2012, <https://arxiv.org/abs/1210.8442>
71. Baral, Chitta; Dzifcak, Juraj; Gonzalez, Marcos A.; Gottesman, Aaron: Typed Answer Set Programming and Inverse Lambda Algorithms, 2012, <https://arxiv.org/abs/1210.5670>
72. Bellemare, Marc G.; Naddaf, Yavar; Veness, Joel; Bowling, Michael: The Arcade Learning Environment: An Evaluation Platform for General Agents, 2012, <https://arxiv.org/abs/1207.4708>
73. Jung, Tobias; Stone, Peter: Feature Selection for Value Function Approximation Using Bayesian Model Selection, 2012, <https://arxiv.org/abs/1201.6615>
74. Martins, Andre F. T.; Figueiredo, Mario A. T.; Aguiar, Pedro M. Q.; Smith, Noah A.; Xing, Eric P.: Alternating Directions Dual Decomposition, 2012, <https://arxiv.org/abs/1212.6550>
75. Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean; Meilender, Thomas; Nauer, Emmanuel: Semi-automatic annotation process for procedural texts: An application on cooking recipes, 2012, <https://arxiv.org/abs/1209.5663>
76. Jung, Tobias; Polani, Daniel; Stone, Peter: Empowerment for Continuous Agent-Environment Systems, 2012, <https://arxiv.org/abs/1201.6583>
77. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
78. Hutter, Marcus: One Decade of Universal Artificial Intelligence, 2012, <https://arxiv.org/abs/1202.6153>
79. Jung, Tobias; Polani, Daniel; Stone, Peter: Empowerment for Continuous Agent-Environment Systems, 2012, <https://arxiv.org/abs/1201.6583>
80. Yang, Daiqin; Zhao, Fang; Liu, Kai; Lim, Hock Beng; Frazzoli, Emilio; Rus, Daniela: A GPS Pseudorange Based Cooperative Vehicular Distance Measurement Technique, 2012, <https://arxiv.org/abs/1207.2761>
81. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
82. Stowell, Dan; Plumbley, Mark D.: Segregating event streams and noise with a Markov renewal process model, 2012, <https://arxiv.org/abs/1211.2972>
83. Yang, Daiqin; Zhao, Fang; Liu, Kai; Lim, Hock Beng; Frazzoli, Emilio; Rus, Daniela: A GPS Pseudorange Based Cooperative Vehicular Distance Measurement Technique, 2012, <https://arxiv.org/abs/1207.2761>
84. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
85. Edelkamp, Stefan; Kissmann, Peter; Torralba, Álvaro: Lex-Partitioning: A New Option for BDD Search, 2012, <https://arxiv.org/abs/1210.6415>
86. Belkin, Mikhail; Que, Qichao; Wang, Yusu; Zhou, Xueyuan: Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries, 2012, <https://arxiv.org/abs/1211.6727>
87. Bailleux, Olivier: Unit contradiction versus unit propagation, 2012, <https://arxiv.org/abs/1204.0731>
88. Bui, Hung Hai; Huynh, Tuyen N.; Riedel, Sebastian: Automorphism Groups of Graphical Models and Lifted Variational Inference, 2012, <https://arxiv.org/abs/1207.4814>
89. Stowell, Dan; Plumbley, Mark D.: Segregating event streams and noise with a Markov renewal process model, 2012, <https://arxiv.org/abs/1211.2972>
90. Feldman, Zohar; Domshlak, Carmel: Simple Regret Optimization in Online Planning for Markov Decision Processes, 2012, <https://arxiv.org/abs/1206.3382>
91. Mani, A.: Dialectics of Knowledge Representation in a Granular Rough Set Theory, 2012, <https://arxiv.org/abs/1212.6519>
92. Skarlatidis, Anastasios; Artikis, Alexander; Filippou, Jason; Paliouras, Georgios: A Probabilistic Logic Programming Event Calculus, 2012, <https://arxiv.org/abs/1204.1851>
93. Bouvrie, Jake; Maggioni, Mauro: Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning, 2012, <https://arxiv.org/abs/1212.1143>
94. Grzes, Marek; Hoey, Jesse; Khan, Shehroz; Mihailidis, Alex; Czarnuch, Stephen; Jackson, Dan; Monk, Andrew: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model, 2012, <https://arxiv.org/abs/1206.5698>
95. Schrijvers, Tom; Tack, Guido; Wuille, Pieter; Samulowitz, Horst; Stuckey, Peter J.: Search Combinators, 2012, <https://arxiv.org/abs/1203.1095>
96. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
97. Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
98. Shchekotykhin, Kostyantyn; Fleiss, Philipp; Rodler, Patrick; Friedrich, Gerhard: Direct computation of diagnoses for ontology debugging, 2012, <https://arxiv.org/abs/1209.0997>
99. Blanchard, Frédéric; Herbin, Michel: Relational Data Mining Through Extraction of Representative Exemplars, 2012, <https://arxiv.org/abs/1207.0833>
100.Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
101.Grzes, Marek; Hoey, Jesse; Khan, Shehroz; Mihailidis, Alex; Czarnuch, Stephen; Jackson, Dan; Monk, Andrew: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model, 2012, <https://arxiv.org/abs/1206.5698>
102.Böhmer, Wendelin: Robot Navigation using Reinforcement Learning and Slow Feature Analysis, 2012, <https://arxiv.org/abs/1205.0986>
103.Belkin, Mikhail; Que, Qichao; Wang, Yusu; Zhou, Xueyuan: Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries, 2012, <https://arxiv.org/abs/1211.6727>
104.Azimi, Javad; Jalali, Ali; Fern, Xiaoli: Hybrid Batch Bayesian Optimization, 2012, <https://arxiv.org/abs/1202.5597>
105.Alviano, Mario; Faber, Wolfgang; Greco, Gianluigi; Leone, Nicola: Magic Sets for Disjunctive Datalog Programs, 2012, <https://arxiv.org/abs/1204.6346>
106.Bellemare, Marc G.; Naddaf, Yavar; Veness, Joel; Bowling, Michael: The Arcade Learning Environment: An Evaluation Platform for General Agents, 2012, <https://arxiv.org/abs/1207.4708>
107.Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
108.Maes, Francis; Ernst, Damien; Wehenkel, Louis: Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case, 2012, <https://arxiv.org/abs/1207.5208>
109.Grzes, Marek; Hoey, Jesse; Khan, Shehroz; Mihailidis, Alex; Czarnuch, Stephen; Jackson, Dan; Monk, Andrew: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model, 2012, <https://arxiv.org/abs/1206.5698>
110.Zhao, Qibin; Caiafa, Cesar F.; Mandic, Danilo P.; Chao, Zenas C.; Nagasaka, Yasuo; Fujii, Naotaka; Zhang, Liqing; Cichocki, Andrzej: Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method, 2012, <https://arxiv.org/abs/1207.1230>
111.Skarlatidis, Anastasios; Artikis, Alexander; Filippou, Jason; Paliouras, Georgios: A Probabilistic Logic Programming Event Calculus, 2012, <https://arxiv.org/abs/1204.1851>
112.Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
113.Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean; Meilender, Thomas; Nauer, Emmanuel: Semi-automatic annotation process for procedural texts: An application on cooking recipes, 2012, <https://arxiv.org/abs/1209.5663>
114.Grzes, Marek; Hoey, Jesse; Khan, Shehroz; Mihailidis, Alex; Czarnuch, Stephen; Jackson, Dan; Monk, Andrew: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model, 2012, <https://arxiv.org/abs/1206.5698>
115.De Bock, Jasper; de Cooman, Gert: An efficient algorithm for estimating state sequences in imprecise hidden Markov models, 2012, <https://arxiv.org/abs/1210.1791>
116.Hoxha, Julia; Junghans, Martin; Agarwal, Sudhir: Enabling Semantic Analysis of User Browsing Patterns in the Web of Data, 2012, <https://arxiv.org/abs/1204.2713>
117.Xu, Jun-Ming; Bhargava, Aniruddha; Nowak, Robert; Zhu, Xiaojin: Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media, 2012, <https://arxiv.org/abs/1204.2248>
118.Lacoste-Julien, Simon; Palla, Konstantina; Davies, Alex; Kasneci, Gjergji; Graepel, Thore; Ghahramani, Zoubin: SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases, 2012, <https://arxiv.org/abs/1207.4525>
119.Boloni, Ladislau: Shadows and Headless Shadows: an Autobiographical Approach to Narrative Reasoning, 2012, <https://arxiv.org/abs/1211.6097>
120.Lange, Christoph; Mossakowski, Till; Kutz, Oliver; Galinski, Christian; Grüninger, Michael; Vale, Daniel Couto: The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility, 2012, <https://arxiv.org/abs/1208.0293>
121.Jung, Tobias; Stone, Peter: Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-like Exploration, 2012, <https://arxiv.org/abs/1201.6604>
122.Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
123.Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
124.Hutter, Frank; Xu, Lin; Hoos, Holger H.; Leyton-Brown, Kevin: Algorithm Runtime Prediction: Methods & Evaluation, 2012, <https://arxiv.org/abs/1211.0906>
125.Martins, Andre F. T.; Figueiredo, Mario A. T.; Aguiar, Pedro M. Q.; Smith, Noah A.; Xing, Eric P.: Alternating Directions Dual Decomposition, 2012, <https://arxiv.org/abs/1212.6550>
126.Khouadjia, Mostepha Redouane; Schoenauer, Marc; Vidal, Vincent; Dréo, Johann; Savéant, Pierre: Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark, 2012, <https://arxiv.org/abs/1212.5276>
127.Borboudakis, Giorgos; Tsamardinos, Ioannis: Scoring and Searching over Bayesian Networks with Causal and Associative Priors, 2012, <https://arxiv.org/abs/1209.6561>
128.Stowell, Dan; Plumbley, Mark D.: Segregating event streams and noise with a Markov renewal process model, 2012, <https://arxiv.org/abs/1211.2972>
129.Koutník, Jan; Schmidhuber, Juergen; Gomez, Faustino: A Frequency-Domain Encoding for Neuroevolution, 2012, <https://arxiv.org/abs/1212.6521>
130.Stuhlmüller, Andreas; Goodman, Noah D.: A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs, 2012, <https://arxiv.org/abs/1206.3555>
131.Chicano, Francisco; Daolio, Fabio; Ochoa, Gabriela; Verel, Sébastien; Tomassini, Marco; Alba, Enrique: Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance, 2012, <https://arxiv.org/abs/1210.4021>
132.Bellemare, Marc G.; Naddaf, Yavar; Veness, Joel; Bowling, Michael: The Arcade Learning Environment: An Evaluation Platform for General Agents, 2012, <https://arxiv.org/abs/1207.4708>
133.Dufour-Lussier, Valmi; Ber, Florence Le; Lieber, Jean: Extension du formalisme des flux op\\'erationnels par une alg\\\`ebre temporelle, 2012, <https://arxiv.org/abs/1209.5664>
134.Preen, Richard J.; Bull, Larry: Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system, 2012, <https://arxiv.org/abs/1201.5604>
135.Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
136.Loshchilov, Ilya; Schoenauer, Marc; Sebag, Michèle: Alternative Restart Strategies for CMA-ES, 2012, <https://arxiv.org/abs/1207.0206>
137.Stowell, Dan; Plumbley, Mark D.: Segregating event streams and noise with a Markov renewal process model, 2012, <https://arxiv.org/abs/1211.2972>
138.Stowell, Dan; Plumbley, Mark D.: Segregating event streams and noise with a Markov renewal process model, 2012, <https://arxiv.org/abs/1211.2972>
139.Henriques, Rui; Lynce, Inês; Manquinho, Vasco: On When and How to use SAT to Mine Frequent Itemsets, 2012, <https://arxiv.org/abs/1207.6253>
140.Grzes, Marek; Hoey, Jesse; Khan, Shehroz; Mihailidis, Alex; Czarnuch, Stephen; Jackson, Dan; Monk, Andrew: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model, 2012, <https://arxiv.org/abs/1206.5698>
141.Böhmer, Wendelin: Robot Navigation using Reinforcement Learning and Slow Feature Analysis, 2012, <https://arxiv.org/abs/1205.0986>
142.Demoen, Bart; de la Banda, Maria Garcia: Redundant Sudoku Rules, 2012, <https://arxiv.org/abs/1207.5926>
143.Jung, Tobias; Polani, Daniel; Stone, Peter: Empowerment for Continuous Agent-Environment Systems, 2012, <https://arxiv.org/abs/1201.6583>
144.Zhang, Pan; Ramezanpour, Abolfazl; Zdeborová, Lenka; Zecchina, Riccardo: Message passing for quantified Boolean formulas, 2012, <https://arxiv.org/abs/1202.2536>


### t-SNE 8381 images cs.CV 2012

1.  Hashemi, Jordan; Spina, Thiago Vallin; Tepper, Mariano; Esler, Amy; Morellas, Vassilios; Papanikolopoulos, Nikolaos; Sapiro, Guillermo: Computer vision tools for the non-invasive assessment of autism-related behavioral markers, 2012, <https://arxiv.org/abs/1210.7014>
2.  Bagon, Shai; Galun, Meirav: A Multiscale Framework for Challenging Discrete Optimization, 2012, <https://arxiv.org/abs/1210.7070>
3.  Bagon, Shai: Discrete Energy Minimization, beyond Submodularity: Applications and Approximations, 2012, <https://arxiv.org/abs/1210.7362>
4.  Rebagliati, Nicola; Solé-Ribalta, Albert; Pelillo, Marcello; Serratosa, Francesc: On the Relation Between the Common Labelling and the Median Graph, 2012, <https://arxiv.org/abs/1210.8262>
5.  Chennamma, H. R.; Rangarajan, Lalitha: Mugshot Identification from Manipulated Facial Images, 2012, <https://arxiv.org/abs/1210.8318>
6.  Sarhrouni, Elkebir; Hammouch, Ahmed; Aboutajdine, Driss: Dimensionality Reduction and Classification Feature Using Mutual Information Applied to Hyperspectral Images: A Wrapper Strategy Algorithm Based on Minimizing the Error Probability Using the Inequality of Fano, 2012, <https://arxiv.org/abs/1211.0055>
7.  Ristic, Branko; Sherrah, Jamie; García-Fernández, Ángel F.: Performance Evaluation of Random Set Based Pedestrian Tracking Algorithms, 2012, <https://arxiv.org/abs/1211.0191>
8.  Zhao, Jie; Zheng, Wei; Zhang, Li; Tian, Hua: Segmentation of ultrasound images of thyroid nodule for assisting fine needle aspiration cytology, 2012, <https://arxiv.org/abs/1211.0602>
9.  Rodner, Erik: Visual Transfer Learning: Informal Introduction and Literature Overview, 2012, <https://arxiv.org/abs/1211.1127>
10. Hossain, Md. Ali; Ahsan-Ul-Ambia, ; Aktaruzzaman, Md.; Khan, Md. Ahaduzzaman: Implementation of Radon Transformation for Electrical Impedance Tomography (EIT), 2012, <https://arxiv.org/abs/1211.1252>
11. "d'Angelo, Emmanuel; jacques, Laurent; Alahi, Alexandre; Vandergheynst, Pierre;: From Bits to Images: Inversion of Local Binary Descriptors, 2012, <https://arxiv.org/abs/1211.1265>
12. Ye, Chengxi; Lin, Yuxu; Song, Mingli; Chen, Chun; Jacobs, David W.: Spectral Graph Cut from a Filtering Point of View, 2012, <https://arxiv.org/abs/1205.4450>
13. Zhang, Jian; Zhao, Chen; Xiong, Ruiqin; Ma, Siwei; Zhao, Debin: Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation, 2012, <https://arxiv.org/abs/1208.3723>
14. Gabarda, Salvador; Cristobal, Gabriel: No-reference image quality assessment through the von Mises distribution, 2012, <https://arxiv.org/abs/1202.3021>
15. Yang, Meng; Zhang, Lei; Yang, Jian; Zhang, David: Regularized Robust Coding for Face Recognition, 2012, <https://arxiv.org/abs/1202.4207>
16. Szlam, Arthur; Gregor, Karol; LeCun, Yann: Fast approximations to structured sparse coding and applications to object classification, 2012, <https://arxiv.org/abs/1202.6384>
17. Zhang, Lei; Yang, Meng; Feng, Xiangchu; Ma, Yi; Zhang, David: Collaborative Representation based Classification for Face Recognition, 2012, <https://arxiv.org/abs/1204.2358>
18. Sun, Guangling: Demosaicing and Superresolution for Color Filter Array via Residual Image Reconstruction and Sparse Representation, 2012, <https://arxiv.org/abs/1210.0115>
19. Sun, Guangling; Li, Guoqing; Yin, Jie: Blurred Image Classification based on Adaptive Dictionary, 2012, <https://arxiv.org/abs/1210.1029>
20. Gonzalez, Adriana; Jacques, Laurent; De Vleeschouwer, Christophe; Antoine, Philippe: Compressive Optical Deflectometric Tomography: A Constrained Total-Variation Minimization Approach, 2012, <https://arxiv.org/abs/1209.0654>
21. Peng, Xi; Zhang, Lei; Yi, Zhang; Tan, Kok Kiong: Learning Locality-Constrained Collaborative Representation for Face Recognition, 2012, <https://arxiv.org/abs/1210.1316>
22. Ko, Young Jun; Seeger, Matthias: Large Scale Variational Bayesian Inference for Structured Scale Mixture Models, 2012, <https://arxiv.org/abs/1206.6437>
23. Tang, Yichuan; Salakhutdinov, Ruslan; Hinton, Geoffrey: Deep Lambertian Networks, 2012, <https://arxiv.org/abs/1206.6445>
24. Zhai, Ke; Hu, Yuening; Williamson, Sinead; Boyd-Graber, Jordan: Modeling Images using Transformed Indian Buffet Processes, 2012, <https://arxiv.org/abs/1206.6482>
25. Stavens, David; Thrun, Sebastian: A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving, 2012, <https://arxiv.org/abs/1206.6872>
26. Schaeffer, Monika; Parr, Ron: Efficient Selection of Disambiguating Actions for Stereo Vision, 2012, <https://arxiv.org/abs/1206.6878>
27. Zeiler, Matthew D.; Fergus, Rob: Differentiable Pooling for Hierarchical Feature Learning, 2012, <https://arxiv.org/abs/1207.0151>
28. Elhamifar, Ehsan; Vidal, Rene: Sparse Subspace Clustering: Algorithm, Theory, and Applications, 2012, <https://arxiv.org/abs/1203.1005>
29. Xu, Yongchao; Géraud, Thierry; Najman, Laurent: Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations, 2012, <https://arxiv.org/abs/1204.4758>
30. Sparavigna, Amelia Carolina: Portraits of Julius Caesar: a proposal for 3D analysis, 2012, <https://arxiv.org/abs/1206.4866>
31. Revathy, K.; Jayamohan, M.: Dynamic Domain Classification for Fractal Image Compression, 2012, <https://arxiv.org/abs/1206.4880>
32. Katyal, Vini; Aviral, : Leaf vein segmentation using Odd Gabor filters and morphological operations, 2012, <https://arxiv.org/abs/1206.5157>
33. Bejuri, Wan Mohd Yaakob Wan; Mohamad, Mohd Murtadha; Sapri, Maimunah; Rosly, Mohd Adly: Investigation of Color Constancy for Ubiquitous Wireless LAN/Camera Positioning: An Initial Outcome, 2012, <https://arxiv.org/abs/1206.6514>
34. Oji, Reza; Tajeripour, Farshad: Full Object Boundary Detection by Applying Scale Invariant Features in a Region Merging Segmentation Algorithm, 2012, <https://arxiv.org/abs/1210.7038>
35. Shekar, B. H.; Harivinod, N.; Kumari, M. Sharmila; Holla, K. Raghurama: 3D Face Recognition using Significant Point based SULD Descriptor, 2012, <https://arxiv.org/abs/1210.7102>
36. Bhavsar, Arnav: Resolution Enhancement of Range Images via Color-Image Segmentation, 2012, <https://arxiv.org/abs/1210.7403>
37. de Souza, César Roberto; Pizzolato, Ednaldo Brigante; Anjo, Mauro dos Santos: Recognizing Static Signs from the Brazilian Sign Language: Comparing Large-Margin Decision Directed Acyclic Graphs, Voting Support Vector Machines and Artificial Neural Networks, 2012, <https://arxiv.org/abs/1210.7461>
38. Sparavigna, Amelia Carolina: The fortresses of Ejin: an example of outlining a site from satellite images, 2012, <https://arxiv.org/abs/1210.7631>
39. Maknikar, Pooja: Performance Evaluation of Different Techniques for texture Classification, 2012, <https://arxiv.org/abs/1210.7669>
40. Zuva, Tranos; Olugbara, Oludayo O.; Ojo, Sunday O.; Ngwira, Seleman M.: Kernel Density Feature Points Estimator for Content-Based Image Retrieval, 2012, <https://arxiv.org/abs/1203.5078>
41. Kimura, Akisato; Sugiyama, Masashi; Hitoshi, Sakano; Kameoka, Hirokazu: Designing various component analysis at will, 2012, <https://arxiv.org/abs/1207.3554>
42. Kharinov, M.: Stable Segmentation of Digital Image, 2012, <https://arxiv.org/abs/1208.2655>
43. Fiori, Marcelo; Musé, Pablo; Sapiro, Guillermo: A Complete System for Candidate Polyps Detection in Virtual Colonoscopy, 2012, <https://arxiv.org/abs/1209.6525>
44. Kovnatsky, A.; Bronstein, M. M.; Bronstein, A. M.; Glashoff, K.; Kimmel, R.: Coupled quasi-harmonic bases, 2012, <https://arxiv.org/abs/1210.0026>
45. Sarhrouni, ELkebir; Hammouch, Ahmed; Aboutajdine, Driss: Dimensionality Reduction and Classification feature using Mutual Information applied to Hyperspectral Images : A Filter strategy based algorithm, 2012, <https://arxiv.org/abs/1210.0052>
46. Aalsalem, Mohammed Y; Khan, Wazir Zada; Arshad, Quratul Ain: A Low Cost Vision Based Hybrid Fiducial Mark Tracking Technique for Mobile Industrial Robots, 2012, <https://arxiv.org/abs/1210.0153>
47. Kafieh, Raheleh; Rabbani, Hossein; Abramoff, Michael D.; Sonka, Milan: Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map, 2012, <https://arxiv.org/abs/1210.0310>
48. Sasirekha, D.; Chandra, E.: Enhanced Techniques for PDF Image Segmentation and Text Extraction, 2012, <https://arxiv.org/abs/1210.0347>
49. Hu, Junlin; Guo, Ping: Combined Descriptors in Spatial Pyramid Domain for Image Classification, 2012, <https://arxiv.org/abs/1210.0386>
50. Sarhrouni, Elkebir; Hammouch, Ahmed; Aboutajdine, Driss: Band Selection and Classification of Hyperspectral Images using Mutual Information: An algorithm based on minimizing the error probability using the inequality of Fano, 2012, <https://arxiv.org/abs/1210.0528>
51. Hu, Tao; Nunez-Iglesias, Juan; Vitaladevuni, Shiv; Scheffer, Lou; Xu, Shan; Bolorizadeh, Mehdi; Hess, Harald; Fetter, Richard; Chklovskii, Dmitri: Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy, 2012, <https://arxiv.org/abs/1210.0564>
52. Chadha, Aman; Mallik, Sushmit; Johar, Ravdeep: Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval, 2012, <https://arxiv.org/abs/1208.6335>
53. Duarte-Carvajalino, Julio M.; Yu, Guoshen; Carin, Lawrence; Sapiro, Guillermo: Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models, 2012, <https://arxiv.org/abs/1201.5404>
54. Farabet, Clément; Couprie, Camille; Najman, Laurent; LeCun, Yann: Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers, 2012, <https://arxiv.org/abs/1202.2160>
55. Buemi, Maria E.; Mejail, Marta; Jacobo, Julio; Frery, Alejandro C.; Ramos, Heitor S.: Assessment of SAR Image Filtering using Adaptive Stack Filters, 2012, <https://arxiv.org/abs/1207.4308>
56. Al-Wassai, Firouz Abdullah; Kalyankar, Dr. N. V.: A Novel Metric Approach Evaluation For The Spatial Enhancement Of Pan-Sharpened Images, 2012, <https://arxiv.org/abs/1207.5064>
57. Caraig, Lou Marvin: A New Training Algorithm for Kanerva's Sparse Distributed Memory, 2012, <https://arxiv.org/abs/1207.5774>
58. Revathi, A. R.; Kumar, Dhananjay: A Survey Of Activity Recognition And Understanding The Behavior In Video Survelliance, 2012, <https://arxiv.org/abs/1207.6774>
59. Salmon, Joseph; Harmany, Zachary; Deledalle, Charles-Alban; Willett, Rebecca: Poisson noise reduction with non-local PCA, 2012, <https://arxiv.org/abs/1206.0338>
60. Wang, Junyan; Chan, Kap Luk: Piecewise Linear Patch Reconstruction for Segmentation and Description of Non-smooth Image Structures, 2012, <https://arxiv.org/abs/1207.5113>
61. Liu, Guangcan; Chang, Shiyu; Ma, Yi: Blind Image Deblurring by Spectral Properties of Convolution Operators, 2012, <https://arxiv.org/abs/1209.2082>
62. Parseh, Mohammad Javad; Pashazadeh, Saeid: Applying Dynamic Model for Multiple Manoeuvring Target Tracking Using Particle Filtering, 2012, <https://arxiv.org/abs/1211.4524>
63. Masci, Jonathan; Angulo, Jesús; Schmidhuber, Jürgen: A Learning Framework for Morphological Operators using Counter-Harmonic Mean, 2012, <https://arxiv.org/abs/1212.2546>
64. Osman, Ghazali; Hitam, Muhammad Suzuri; Ismail, Mohd Nasir: Enhanced skin colour classifier using RGB Ratio model, 2012, <https://arxiv.org/abs/1212.2692>
65. Song, Shuran; Xiao, Jianxiong: Tracking Revisited using RGBD Camera: Baseline and Benchmark, 2012, <https://arxiv.org/abs/1212.2823>
66. Egger, Jan; Kapur, Tina; Nimsky, Christopher; Kikinis, Ron: Pituitary Adenoma Volumetry with 3D Slicer, 2012, <https://arxiv.org/abs/1212.2860>
67. Telgarsky, Rastislav: Multi-target tracking algorithms in 3D, 2012, <https://arxiv.org/abs/1212.3034>
68. Mandal, J. K.; Mukhopadhyay, Somnath: A Novel Directional Weighted Minimum Deviation (DWMD) Based Filter for Removal of Random Valued Impulse Noise, 2012, <https://arxiv.org/abs/1212.3373>
69. Lim, Hao Wooi; Tay, Yong Haur: Visual Objects Classification with Sliding Spatial Pyramid Matching, 2012, <https://arxiv.org/abs/1212.3767>
70. Wang, Quan: GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation, 2012, <https://arxiv.org/abs/1212.4527>
71. Premachandran, Vittal; Kakarala, Ramakrishna: Perceptually Motivated Shape Context Which Uses Shape Interiors, 2012, <https://arxiv.org/abs/1212.4608>
72. Guo, Jianya; Mei, Xi; Tang, Kun: Automatic landmark annotation and dense correspondence registration for 3D human facial images, 2012, <https://arxiv.org/abs/1212.4920>
73. Chua, Kah Keong; Tay, Yong Haur: On the Adaptability of Neural Network Image Super-Resolution, 2012, <https://arxiv.org/abs/1212.5352>
74. Bekkers, Erik; Duits, Remco; Berendschot, Tos; Romeny, Bart ter Haar: A Multi-Orientation Analysis Approach to Retinal Vessel Tracking, 2012, <https://arxiv.org/abs/1212.3530>
75. Welk, Martin; Raudaschl, Patrik; Schwarzbauer, Thomas; Erler, Martin; Läuter, Martin: Fast and Robust Linear Motion Deblurring, 2012, <https://arxiv.org/abs/1212.2245>
76. Kumar, Deepak; Prasad, M N Anil; Ramakrishnan, A G: Benchmarking recognition results on word image datasets, 2012, <https://arxiv.org/abs/1208.6137>
77. Coelho, Luis Pedro: Mahotas: Open source software for scriptable computer vision, 2012, <https://arxiv.org/abs/1211.4907>
78. Yang, Yanchao; Sundaramoorthi, Ganesh: Shape Tracking With Occlusions via Coarse-To-Fine Region-Based Sobolev Descent, 2012, <https://arxiv.org/abs/1208.4391>
79. Masci, Jonathan; Bronstein, Michael M.; Bronstein, Alexander A.; Schmidhuber, Jürgen: Multimodal similarity-preserving hashing, 2012, <https://arxiv.org/abs/1207.1522>
80. Fekri-Ershad, Shervan; Saberi, Mohammad; Tajeripour, Farshad: An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique, 2012, <https://arxiv.org/abs/1207.1551>
81. da Silva, Núbia Rosa; Bruno, Odemir Martinez: Analysis of Multi-Scale Fractal Dimension to Classify Human Motion, 2012, <https://arxiv.org/abs/1207.1649>
82. Masci, Jonathan; Meier, Ueli; Fricout, Gabriel; Schmidhuber, Jürgen: Object Recognition with Multi-Scale Pyramidal Pooling Networks, 2012, <https://arxiv.org/abs/1207.1765>
83. Qaffou, Issam; Sadgal, Mohammed; Elfazziki, Abdelaziz: A Multi-Agents Architecture to Learn Vision Operators and their Parameters, 2012, <https://arxiv.org/abs/1207.2426>
84. Biswas, Sambhunath; Biswas, Amrita: Face Recognition Algorithms based on Transformed Shape Features, 2012, <https://arxiv.org/abs/1207.2537>
85. Warade, Saket; Aghav, Jagannath; Claude, Petitpierre; Udayagiri, Sandeep: Automated Training and Maintenance through Kinect, 2012, <https://arxiv.org/abs/1207.2597>
86. Qatawneh, Sokyna; Alneaimi, Afaf; Rawashdeh, Thamer; Muhairat, Mmohammad; Qahwaji, Rami; Ipson, Stan: Efficient Prediction of DNA-Binding Proteins Using Machine Learning, 2012, <https://arxiv.org/abs/1207.2600>
87. Mohammadi, Seyed Amir; Mahzoun, Mohammad Reza: A Novel Approach Coloured Object Tracker with Adaptive Model and Bandwidth using Mean Shift Algorithm, 2012, <https://arxiv.org/abs/1207.2602>
88. Surbhi, ; Arora, Vishal: ROI Segmentation for Feature Extraction from Human Facial Images, 2012, <https://arxiv.org/abs/1207.2922>
89. Perciano, Talita; Urban, Matthew; Mascarenhas, Nelson D. A.; Fatemi, Mostafa; Frery, Alejandro C.; Silva, Glauber T.: Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function, 2012, <https://arxiv.org/abs/1207.3370>
90. Li, Xi; Dick, Anthony; Shen, Chunhua; Hengel, Anton van den; Wang, Hanzi: Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking, 2012, <https://arxiv.org/abs/1207.3389>
91. Demirkesen, Can; Cherifi, Hocine: Fusing image representations for classification using support vector machines, 2012, <https://arxiv.org/abs/1207.3607>
92. McAuley, Julian; Leskovec, Jure: Image Labeling on a Network: Using Social-Network Metadata for Image Classification, 2012, <https://arxiv.org/abs/1207.3809>
93. Frery, Alejandro C.; Jacobo-Berlles, Julio; Gambini, Juliana; Mejail, Marta: Polarimetric SAR Image Segmentation with B-Splines and a New Statistical Model, 2012, <https://arxiv.org/abs/1207.3944>
94. Anguelov, Dragomir; Koller, Daphne; Pang, Hoi-Cheung; Srinivasan, Praveen; Thrun, Sebastian: Recovering Articulated Object Models from 3D Range Data, 2012, <https://arxiv.org/abs/1207.4129>
95. Jojic, Nebojsa; Caspi, Yaron; Reyes-Gomez, Manuel: Probabilistic index maps for modeling natural signals, 2012, <https://arxiv.org/abs/1207.4179>
96. Katyal, Vini; Aviral, ; Srivastava, Deepesh: Elimination of Glass Artifacts and Object Segmentation, 2012, <https://arxiv.org/abs/1204.6653>
97. Tofighi, Mohammad; Ayremlou, Ali; Marvasti, Farokh: Compensating Interpolation Distortion by Using New Optimized Modular Method, 2012, <https://arxiv.org/abs/1204.3618>
98. Tofighi, Mohammad; Kalbkhani, Hashem; Shayesteh, Mahrokh G.; Ghasemzadeh, Mehdi: Robust Head Pose Estimation Using Contourlet Transform, 2012, <https://arxiv.org/abs/1204.5431>
99. Jodoin, Jean-Philippe; Bilodeau, Guillaume-Alexandre; Saunier, Nicolas: Background subtraction based on Local Shape, 2012, <https://arxiv.org/abs/1204.6326>
100.Sun, Yankui; Zhang, Tian: A 3D Segmentation Method for Retinal Optical Coherence Tomography Volume Data, 2012, <https://arxiv.org/abs/1204.6385>
101.Wang, Junyan; Chan, Kap Luk: Active Contour with A Tangential Component, 2012, <https://arxiv.org/abs/1204.6458>
102.Kaliamoorthi, Prabhu; Kakarala, Ramakrishna: Parametric annealing: a stochastic search method for human pose tracking, 2012, <https://arxiv.org/abs/1204.6563>
103.Jagadeesh, H S; Babu, K Suresh; Raja, K B: DBC based Face Recognition using DWT, 2012, <https://arxiv.org/abs/1205.1644>
104.T, Manu V; Simon, Philomina: A novel statistical fusion rule for image fusion and its comparison in non subsampled contourlet transform domain and wavelet domain, 2012, <https://arxiv.org/abs/1205.1648>
105.Wang, Quan; Ou, Yan; Julius, A. Agung; Boyer, Kim L.; Kim, Min Jun: Tracking Tetrahymena Pyriformis Cells using Decision Trees, 2012, <https://arxiv.org/abs/1207.3127>
106.Fong, Chamberlain: Revolvable Indoor Panoramas Using a Rectified Azimuthal Projection, 2012, <https://arxiv.org/abs/1206.2068>
107.Wang, Zhaowen; Wang, Jinjun; Xiao, Jing; Lin, Kai-Hsiang; Huang, Thomas: Substructure and Boundary Modeling for Continuous Action Recognition, 2012, <https://arxiv.org/abs/1203.1985>
108.Qadir, Ashraf; Neubert, Jeremiah; Semke, William: On-Board Visual Tracking with Unmanned Aircraft System (UAS), 2012, <https://arxiv.org/abs/1203.2386>
109.Pallath, Nobert Thomas; Thomas, Tessamma: Video Object Tracking and Analysis for Computer Assisted Surgery, 2012, <https://arxiv.org/abs/1203.2404>
110.Sreedhar, K.; Panlal, B.: Enhancement of Images using Morphological Transformation, 2012, <https://arxiv.org/abs/1203.2514>
111.Egger, Jan; Kapur, Tina; Dukatz, Thomas; Kolodziej, Malgorzata; Zukic, Dzenan; Freisleben, Bernd; Nimsky, Christopher: Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape, 2012, <https://arxiv.org/abs/1203.2839>
112.Sosas, Maria-Luisa; Arias, Miguel-Octavio: Integrated three-dimensional reconstruction using reflectance fields, 2012, <https://arxiv.org/abs/1203.3114>
113.Sengupta, Shampa; Das, Asit Kr.: Single Reduct Generation Based on Relative Indiscernibility of Rough Set Theory, 2012, <https://arxiv.org/abs/1203.3170>
114.Masiero, Andrea; Cenedese, Angelo: Reconstruction error in a motion capture system, 2012, <https://arxiv.org/abs/1203.3230>
115.Paul, Sushil Kumar; Uddin, Mohammad Shorif; Bouakaz, Saida: Extraction of Facial Feature Points Using Cumulative Histogram, 2012, <https://arxiv.org/abs/1203.3270>
116.Daneshgar, Amir; Javadi, Ramin; Razavi, Basir Shariat: Clustering Using Isoperimetric Number of Trees, 2012, <https://arxiv.org/abs/1203.4204>
117.Ershad, Shervan Fekri: Texture Classification Approach Based on Combination of Edge & Co-occurrence and Local Binary Pattern, 2012, <https://arxiv.org/abs/1203.4855>
118.Thorpe, Christopher; Li, Feng; Li, Zijia; Yu, Zhan; Saunders, David; Yu, Jingyi: A Co-Prime Blur Scheme for Data Security in Video Surveillance, 2012, <https://arxiv.org/abs/1203.4874>
119.Ronda, José I.; Valdés, Antonio; Gallego, Guillermo: Autocalibration with the Minimum Number of Cameras with Known Pixel Shape, 2012, <https://arxiv.org/abs/1203.0905>
120.Zhou, Guoxu; Cichocki, Andrzej; Zhang, Yu; Mandic, Danilo: Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction, 2012, <https://arxiv.org/abs/1212.3913>
121.Al-Wassai, Firouz Abdullah; Kalyankar, N. V.; Al-Zaky, Ali A.: Spatial And Spectral Quality Evaluation Based On Edges Regions Of Satellite Image Fusion, 2012, <https://arxiv.org/abs/1207.1922>
122.Lu, Hongyu; Wang, Yutian; Bao, Shanglian: A United Image Force for Deformable Models and Direct Transforming Geometric Active Contorus to Snakes by Level Sets, 2012, <https://arxiv.org/abs/1201.1571>
123.Wu, Yue; Tracey, Brian; Noonan, Joseph P.: James-Stein Type Center Pixel Weights for Non-Local Means Image Denoising, 2012, <https://arxiv.org/abs/1211.1656>
124.Guha, Tanaya; Ward, Rabab K.: Image Similarity Using Sparse Representation and Compression Distance, 2012, <https://arxiv.org/abs/1206.2627>
125.Chang, Joshua C.; Chou, Tom: Iterative graph cuts for image segmentation with a nonlinear statistical shape prior, 2012, <https://arxiv.org/abs/1208.4384>
126.Pan, Jinshan; Liu, Risheng; Su, Zhixun; Gu, Xianfeng: Kernel Estimation from Salient Structure for Robust Motion Deblurring, 2012, <https://arxiv.org/abs/1212.1073>
127.Krahmer, Felix; Ward, Rachel: Stable and robust sampling strategies for compressive imaging, 2012, <https://arxiv.org/abs/1210.2380>
128.Chaudhury, Kunal N.; Singer, Amit: Non-Local Euclidean Medians, 2012, <https://arxiv.org/abs/1207.3056>
129.Yang, Yingzhen; Chu, Xinqi; Ng, Tian-Tsong; Chia, Alex Yong-Sang; Yan, Shuicheng; Huang, Thomas S.: Epitome for Automatic Image Colorization, 2012, <https://arxiv.org/abs/1210.4481>
130.Dubuisson, Severine; Gonzales, Christophe; NGuyen, Xuan Son: DBN-Based Combinatorial Resampling for Articulated Object Tracking, 2012, <https://arxiv.org/abs/1210.4863>
131.Krähenbühl, Philipp; Koltun, Vladlen: Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials, 2012, <https://arxiv.org/abs/1210.5644>
132.Bandyopadhyay, Prof. Samir K.; Datta, Biswajita; Roy, Sudipta: Identifications of concealed weapon in a Human Body, 2012, <https://arxiv.org/abs/1210.5653>
133.Dutta, Vibekananda; Kesswani, Dr Nishtha; Gahalot, Deepti: Novel Architecture for 3D model in virtual communities from detected face, 2012, <https://arxiv.org/abs/1210.6157>
134.Misra, Rachita; ray, Kasturika B: Textural Approach to Palmprint Identification, 2012, <https://arxiv.org/abs/1210.6192>
135.Ioannou, Yani; Taati, Babak; Harrap, Robin; Greenspan, Michael: Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds, 2012, <https://arxiv.org/abs/1209.1759>
136.Vondrick, Carl; Khosla, Aditya; Malisiewicz, Tomasz; Torralba, Antonio: Inverting and Visualizing Features for Object Detection, 2012, <https://arxiv.org/abs/1212.2278>
137.Rajathilagam, B.; Rangarajan, Murali; Soman, K. P.: G-Lets: Signal Processing Using Transformation Groups, 2012, <https://arxiv.org/abs/1201.2995>
138.Gonçalves, Wesley Nunes; Bruno, Odemir Martinez: Automatic system for counting cells with elliptical shape, 2012, <https://arxiv.org/abs/1201.3109>
139.Florindo, João Batista; de Castro, Mário; Bruno, Odemir Martinez: Enhancing Volumetric Bouligand-Minkowski Fractal Descriptors by using Functional Data Analysis, 2012, <https://arxiv.org/abs/1201.3116>
140.Backes, André Ricardo; Bruno, Odemir Martinez: Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method, 2012, <https://arxiv.org/abs/1201.3153>
141.Sparavigna, Amelia Carolina: Variations of images to increase their visibility, 2012, <https://arxiv.org/abs/1201.3233>
142.Alamdar, Fatemeh; Keyvanpour, MohammadReza: A New Color Feature Extraction Method Based on Dynamic Color Distribution Entropy of Neighborhoods, 2012, <https://arxiv.org/abs/1201.3337>
143.Gonçalves, Wesley Nunes; Machado, Bruno Brandoli; Bruno, Odemir Martinez: Spatiotemporal Gabor filters: a new method for dynamic texture recognition, 2012, <https://arxiv.org/abs/1201.3612>
144.Singaraju, Dheeraj; Elhamifar, Ehsan; Tron, Roberto; Yang, Allen Y.; Sastry, S. Shankar: On the Lagrangian Biduality of Sparsity Minimization Problems, 2012, <https://arxiv.org/abs/1201.3674>
145.Khan, Aamir; Farhan, Muhammad; Khurshid, Aasim; Akram, Adeel: A Multimodal Biometric System Using Linear Discriminant Analysis For Improved Performance, 2012, <https://arxiv.org/abs/1201.3720>
146.Vairalkar, Manoj K.; Nimbhorkar, Sonali.: Image Labeling and Segmentation using Hierarchical Conditional Random Field Model, 2012, <https://arxiv.org/abs/1201.3803>
147.Miravet, Carlos; Rodríguez, Francisco B.: A PCA-Based Super-Resolution Algorithm for Short Image Sequences, 2012, <https://arxiv.org/abs/1201.3821>
148.Machado, Bruno Brandoli; Gonçalves, Wesley Nunes; Bruno, Odemir Martinez: Image decomposition with anisotropic diffusion applied to leaf-texture analysis, 2012, <https://arxiv.org/abs/1201.4139>
149.Singh, T. Romen; Roy, Sudipta; Singh, O. Imocha; Sinam, Tejmani; Singh, Kh. Manglem: A New Local Adaptive Thresholding Technique in Binarization, 2012, <https://arxiv.org/abs/1201.5227>
150.Moradmand, Hajar; Setayeshi, Saeed; Targhi, Hossein Khazaei: Comparing Methods for segmentation of Microcalcification Clusters in Digitized Mammograms, 2012, <https://arxiv.org/abs/1201.5938>
151.James, Alex Pappachen; Dimitrijev, Sima: Feature selection using nearest attributes, 2012, <https://arxiv.org/abs/1201.5946>
152.James, Alex Pappachen; Dimitrijev, Sima: Examplers based image fusion features for face recognition, 2012, <https://arxiv.org/abs/1201.5947>
153.Salazar, Augusto; Wuhrer, Stefanie; Shu, Chang; Prieto, Flavio: Fully Automatic Expression-Invariant Face Correspondence, 2012, <https://arxiv.org/abs/1202.1444>
154.Masmoudi, Khaled; Antonini, Marc; Kornprobst, Pierre: Streaming an image through the eye: The retina seen as a dithered scalable image coder, 2012, <https://arxiv.org/abs/1202.2350>
155.Gaurav, Dinesh Dileep; Ramesh, Renu: A feature extraction technique based on character geometry for character recognition, 2012, <https://arxiv.org/abs/1202.3884>
156.Needell, Deanna; Ward, Rachel: Stable image reconstruction using total variation minimization, 2012, <https://arxiv.org/abs/1202.6429>
157.Lim, Hyon; Sinha, Sudipta; Cohen, Michael; Uyttendaele, Matt: Real-time Image-based 6-DOF Localization in Large-Scale Environments, 2012, <https://arxiv.org/abs/1203.4355>
158.Penatti, Otavio A. B.; Valle, Eduardo; Torres, Ricardo da S.: Are visual dictionaries generalizable?, 2012, <https://arxiv.org/abs/1205.2663>
159.Darkner, Sune; Sporring, Jon: Locally Orderless Registration, 2012, <https://arxiv.org/abs/1205.5425>
160.Kolmogorov, Vladimir; Schoenemann, Thomas: Generalized sequential tree-reweighted message passing, 2012, <https://arxiv.org/abs/1205.6352>
161.Sreejini, K. S.; Lijiya, A.; Govindan, V. K.: M-FISH Karyotyping - A New Approach Based on Watershed Transform, 2012, <https://arxiv.org/abs/1205.2031>
162.Kumar, Ankit; Patnaik, Tushar; Verma, Vivek Kr: Discrimination of English to other Indian languages (Kannada and Hindi) for OCR system, 2012, <https://arxiv.org/abs/1205.2164>
163.Zawbaa, Hossam; Aly, Salah A.: Hajj and Umrah Event Recognition Datasets, 2012, <https://arxiv.org/abs/1205.2345>
164.Chang, Jason; Fisher, John W.: Efficient Topology-Controlled Sampling of Implicit Shapes, 2012, <https://arxiv.org/abs/1205.3766>
165.Jin, Qiyu; Grama, Ion; Liu, Quansheng: Optimal Weights Mixed Filter for Removing Mixture of Gaussian and Impulse Noises, 2012, <https://arxiv.org/abs/1205.3999>
166.Thangavel, K.; Roselin, R.: Fuzzy - Rough Feature Selection With {&Pi;}- Membership Function For Mammogram Classification, 2012, <https://arxiv.org/abs/1205.4336>
167.AlMahafzah, Harbi; Imran, Mohammad; Sheshadri, H. S.: Multibiometric: Feature Level Fusion Using FKP Multi-Instance biometric, 2012, <https://arxiv.org/abs/1210.0818>
168.Adcock, Aaron; Rubin, Daniel; Carlsson, Gunnar: Classification of Hepatic Lesions using the Matching Metric, 2012, <https://arxiv.org/abs/1210.0866>
169.Iglesias, Jose A.; Kimmel, Ron: Schr\\"{o}dinger Diffusion for Shape Analysis with Texture, 2012, <https://arxiv.org/abs/1210.0880>
170.Sun, Guangling; Li, Guoqing; Zhang, Xinpeng: Robust Degraded Face Recognition Using Enhanced Local Frequency Descriptor and Multi-scale Competition, 2012, <https://arxiv.org/abs/1210.1033>
171.Badawy, AbdelHameed A.; Hugue, Michelle M.: Evaluating Discussion Boards on BlackBoard as a Collaborative Learning Tool A Students Survey and Reflections, 2012, <https://arxiv.org/abs/1210.1230>
172.Rahman, Meftah Ur: A comparative study on face recognition techniques and neural network, 2012, <https://arxiv.org/abs/1210.1916>
173.Mu, Yadong; Liu, Wei; Yan, Shuicheng: Video De-fencing, 2012, <https://arxiv.org/abs/1210.2388>
174.Soni, Akshay; Haupt, Jarvis: Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization, 2012, <https://arxiv.org/abs/1210.2474>
175.Arabadjis, Dimitris; Rousopoulos, Panayiotis; Papaodysseus, Constantin; Panagopoulos, Michalis; Loumou, Panayiota; Theodoropoulos, Georgios: A General Methodology for the Determination of 2D Bodies Elastic Deformation Invariants. Application to the Automatic Identification of Parasites, 2012, <https://arxiv.org/abs/1210.2646>
176.Collard, Anne; Bonnabel, Silvère; Phillips, Christophe; Sepulchre, Rodolphe: An anisotropy preserving metric for DTI processing, 2012, <https://arxiv.org/abs/1210.2826>
177.Seer, Stefan; Brändle, Norbert; Ratti, Carlo: Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior, 2012, <https://arxiv.org/abs/1210.2838>
178.Papaodysseus, Constantin; Arabadjis, Dimitris; Exarhos, Michalis; Rousopoulos, Panayiotis; Zannos, Solomon; Panagopoulos, Michail; Papazoglou-Manioudaki, Lena: Efficient Solution to the 3D Problem of Automatic Wall Paintings Reassembly, 2012, <https://arxiv.org/abs/1210.2877>
179.Mollah, Ayatullah Faruk; Basu, Subhadip; Nasipuri, Mita: Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques, 2012, <https://arxiv.org/abs/1210.3165>
180.van der Walt, Stéfan J.; Herbst, B. M.: A polygon-based interpolation operator for super-resolution imaging, 2012, <https://arxiv.org/abs/1210.3404>
181.Barriuso, Adela; Torralba, Antonio: Notes on image annotation, 2012, <https://arxiv.org/abs/1210.3448>
182.Tosic, Ivana; Drewes, Sarah: Learning joint intensity-depth sparse representations, 2012, <https://arxiv.org/abs/1201.0566>
183.Schclar, Alon: Multi-Sensor Fusion via Reduction of Dimensionality, 2012, <https://arxiv.org/abs/1211.2863>
184.Shadvar, Ali: Dimension Reduction by Mutual Information Discriminant Analysis, 2012, <https://arxiv.org/abs/1206.2058>
185.Guimarães, Silvio Jamil F.; Cousty, Jean; Kenmochi, Yukiko; Najman, Laurent: An efficient hierarchical graph based image segmentation, 2012, <https://arxiv.org/abs/1206.2807>
186.Srivastava, Saumil: Real time facial expression recognition using a novel method, 2012, <https://arxiv.org/abs/1206.3559>
187.Bunyak, Yu. A.; Sofina, O. Yu.; Kvetnyy, R. N.: Blind PSF estimation and methods of deconvolution optimization, 2012, <https://arxiv.org/abs/1206.3594>
188.Mondal, Koushik; Dutta, Paramartha; Bhattacharyya, Siddhartha: Feature Based Fuzzy Rule Base Design for Image Extraction, 2012, <https://arxiv.org/abs/1206.3633>
189.Divvala, Santosh K.; Efros, Alexei A.; Hebert, Martial: How important are Deformable Parts in the Deformable Parts Model?, 2012, <https://arxiv.org/abs/1206.3714>
190.Wang, Junyan; Chan, Kap Luk: The Stability of Convergence of Curve Evolutions in Vector Fields, 2012, <https://arxiv.org/abs/1206.4042>
191.Mondal, Koushik; Dutta, Paramartha; Bhattacharyya, Siddhartha: Gray Image extraction using Fuzzy Logic, 2012, <https://arxiv.org/abs/1206.4391>
192.Memisevic, Roland: On multi-view feature learning, 2012, <https://arxiv.org/abs/1206.4609>
193.Tabor, Jacek; Misztal, Krzysztof: Detection of elliptical shapes via cross-entropy clustering, 2012, <https://arxiv.org/abs/1211.5712>
194.Liu, Risheng; Lin, Zhouchen; De la Torre, Fernando; Su, Zhixun: Fixed-Rank Representation for Unsupervised Visual Learning, 2012, <https://arxiv.org/abs/1203.2210>
195.Wang, Quan: HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm, 2012, <https://arxiv.org/abs/1207.3510>
196.Zhang, Jian; Liu, Shaohui; Zhao, Debin; Xiong, Ruiqin; Ma, Siwei: Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization, 2012, <https://arxiv.org/abs/1208.3716>
197.Sarhrouni, ELkebir; Hammouch, Ahmed; Aboutajdine, Driss: Application of Symmetric Uncertainty and Mutual Information to Dimensionality Reduction and Classification of Hyperspectral Images, 2012, <https://arxiv.org/abs/1211.0613>
198.Sadek, Rowayda A.: SVD Based Image Processing Applications: State of The Art, Contributions and Research Challenges, 2012, <https://arxiv.org/abs/1211.7102>
199.Sahidullah, Md.; Saha, Goutam: A Novel Windowing Technique for Efficient Computation of MFCC for Speaker Recognition, 2012, <https://arxiv.org/abs/1206.2437>
200.Abd-Elhafiez, Walaa M.; Gharibi, Wajeb: Color Image Compression Algorithm Based on the DCT Blocks, 2012, <https://arxiv.org/abs/1208.3133>
201.Kubota, Toshiro: Contour Completion Around a Fixation Point, 2012, <https://arxiv.org/abs/1208.3512>
202.Liu, Qiong: A Survey of Recent View-based 3D Model Retrieval Methods, 2012, <https://arxiv.org/abs/1208.3670>
203.M, Sreeraj.; Idicula, Sumam Mary: An Online Character Recognition System to Convert Grantha Script to Malayalam, 2012, <https://arxiv.org/abs/1208.4316>
204.Al-Wassai, Firouz Abdullah; Kalyankar, N. V.: The Segmentation Fusion Method On10 Multi-Sensors, 2012, <https://arxiv.org/abs/1208.4842>
205.Aly, Salah A.: A Missing and Found Recognition System for Hajj and Umrah, 2012, <https://arxiv.org/abs/1208.5365>
206.Tang, Zhongwei; Castrodad, Alexey; Tepper, Mariano; Sapiro, Guillermo: Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video, 2012, <https://arxiv.org/abs/1208.5451>
207.Tang, Sarah; Godil, Afzal: An evaluation of local shape descriptors for 3D shape retrieval, 2012, <https://arxiv.org/abs/1202.2368>
208.Abdelwahab, Moataz M.; Aly, Salah A.; Yousry, Islam: Efficient Web-based Facial Recognition System Employing 2DHOG, 2012, <https://arxiv.org/abs/1202.2449>
209.Mader, Kevin; Reese, Gil: Using Covariance Matrices as Feature Descriptors for Vehicle Detection from a Fixed Camera, 2012, <https://arxiv.org/abs/1202.2528>
210.Basu, Subhadip; Chaudhuri, Chitrita; Kundu, Mahantapas; Nasipuri, Mita; Basu, Dipak K.: Segmentation of Offline Handwritten Bengali Script, 2012, <https://arxiv.org/abs/1202.3046>
211.Leordeanu, Marius; Sukthankar, Rahul; Sminchisescu, Cristian: Generalized Boundaries from Multiple Image Interpretations, 2012, <https://arxiv.org/abs/1202.3684>
212.Vidal, Rene; Ma, Yi; Sastry, Shankar: Generalized Principal Component Analysis (GPCA), 2012, <https://arxiv.org/abs/1202.4002>
213.Hale, Scott A.: Unsupervised Threshold for Automatic Extraction of Dolphin Dorsal Fin Outlines from Digital Photographs in DARWIN (Digital Analysis and Recognition of Whale Images on a Network), 2012, <https://arxiv.org/abs/1202.4107>
214.Zhao, Qiyang: A Simple Unsupervised Color Image Segmentation Method based on MRF-MAP, 2012, <https://arxiv.org/abs/1202.4237>
215.Canals, V.; Morro, A.; Rosselló, J. L.: Stochastic-Based Pattern Recognition Analysis, 2012, <https://arxiv.org/abs/1202.4495>
216.Cao, Liujuan: Visual Vocabulary Learning and Its Application to 3D and Mobile Visual Search, 2012, <https://arxiv.org/abs/1207.7244>
217.Yarkony, Julian; Ihler, Alexander T.; Fowlkes, Charless C.: Fast Planar Correlation Clustering for Image Segmentation, 2012, <https://arxiv.org/abs/1208.0378>
218.Koppula, Hema Swetha; Gupta, Rudhir; Saxena, Ashutosh: Human Activity Learning using Object Affordances from RGB-D Videos, 2012, <https://arxiv.org/abs/1208.0967>
219.Ramakrishnan, Josphineleela; Malaisamy, Ramakrishnan: Performance Measurement and Method Analysis (PMMA) for Fingerprint Reconstruction, 2012, <https://arxiv.org/abs/1208.1670>
220.Ramakrishnan, Josphineleela; Ramakrishnan, M.: An Efficient Automatic Attendance System Using Fingerprint Reconstruction Technique, 2012, <https://arxiv.org/abs/1208.1672>
221.Rao, Supreeth K.; B., Arpitha Prasad; Shetty, Anushree R.; Chinmai, ; Bhakthavathsalam, R.; Hegde, Rajeshwari: Stereo Acoustic Perception based on Real Time Video Acquisition for Navigational Assistance, 2012, <https://arxiv.org/abs/1208.1880>
222.Rathi, V. P. Gladis Pushpa; Palani, S.: Brain tumor MRI image classification with feature selection and extraction using linear discriminant analysis, 2012, <https://arxiv.org/abs/1208.2128>
223.Puy, Gilles; Vandergheynst, Pierre: Robust image reconstruction from multi-view measurements, 2012, <https://arxiv.org/abs/1212.3268>
224.Gong, Yunchao; Ke, Qifa; Isard, Michael; Lazebnik, Svetlana: A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics, 2012, <https://arxiv.org/abs/1212.4522>
225.Larkin, Kieran G.; Fletcher, Peter A.; Hardy, Stephen J.: Tenacious tagging of images via Mellin monomials, 2012, <https://arxiv.org/abs/1208.5842>
226.Gupta, Kapil Kumar; Beg, Rizwan; Niranjan, Jitendra Kumar: A Novel Approach to Fast Image Filtering Algorithm of Infrared Images based on Intro Sort Algorithm, 2012, <https://arxiv.org/abs/1201.3972>
227.Sun, Ju; Zhang, Yuqian; Wright, John: Efficient Point-to-Subspace Query in \(\ell^1\) with Application to Robust Object Instance Recognition, 2012, <https://arxiv.org/abs/1208.0432>
228.Cireşan, Dan; Meier, Ueli; Schmidhuber, Juergen: Multi-column Deep Neural Networks for Image Classification, 2012, <https://arxiv.org/abs/1202.2745>
229.Bhavsar, Arnav: Analysis of Magnification in Depth from Defocus, 2012, <https://arxiv.org/abs/1203.6329>
230.Li, Bing; Xiong, Weihua; Hu, Weiming: Color Constancy based on Image Similarity via Bilayer Sparse Coding, 2012, <https://arxiv.org/abs/1207.3142>
231.Christlein, Vincent; Riess, Christian; Jordan, Johannes; Riess, Corinna; Angelopoulou, Elli: An Evaluation of Popular Copy-Move Forgery Detection Approaches, 2012, <https://arxiv.org/abs/1208.3665>
232.Olaizola, Igor G.; Quartulli, Marco; Florez, Julian; Sierra, Basilio: Trace transform based method for color image domain identification, 2012, <https://arxiv.org/abs/1208.3901>
233.Mokhov, Serguei A.; Sun, Yankui: OCT Segmentation Survey and Summary Reviews and a Novel 3D Segmentation Algorithm and a Proof of Concept Implementation, 2012, <https://arxiv.org/abs/1204.6725>
234.Hossain, M. Zahid; Amin, M. Ashraful; Yan, Hong: Rapid Feature Extraction for Optical Character Recognition, 2012, <https://arxiv.org/abs/1206.0238>
235.Mandal, J. K.; Mukhopadhyay, Somnath: Image Filtering using All Neighbor Directional Weighted Pixels: Optimization using Particle Swarm Optimization, 2012, <https://arxiv.org/abs/1206.0285>
236.Abdullah, Manal; Wazzan, Majda; Bo-saeed, Sahar: Optimizing Face Recognition Using PCA, 2012, <https://arxiv.org/abs/1206.1515>
237.Abdullah, Manal A.; Al-Harigy, Lulwah M.; Al-Fraidi, Hanadi H.: Off-Line Arabic Handwriting Character Recognition Using Word Segmentation, 2012, <https://arxiv.org/abs/1206.1518>
238.Vasanth, K.; Kumar, V. Jawahar Senthil: Performance Analysis of Unsymmetrical trimmed median as detector on image noises and its Fpga implementation, 2012, <https://arxiv.org/abs/1206.1552>
239.Cohen, Andrew R.; Vitanyi, Paul M. B.: Normalized Compression Distance of Multisets with Applications, 2012, <https://arxiv.org/abs/1212.5711>
240.Lakshmi, G. Geethu: Anatomical Structure Segmentation in Liver MRI Images, 2012, <https://arxiv.org/abs/1207.0805>
241.Wang, Jingyan: Joint-ViVo: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification in Medical Images, 2012, <https://arxiv.org/abs/1208.3822>
242.Wang, Jing-Yan: Discriminative Sparse Coding on Multi-Manifold for Data Representation and Classification, 2012, <https://arxiv.org/abs/1208.3839>
243.Sermanet, Pierre; Kavukcuoglu, Koray; Chintala, Soumith; LeCun, Yann: Pedestrian Detection with Unsupervised Multi-Stage Feature Learning, 2012, <https://arxiv.org/abs/1212.0142>
244.Dai, Zhenwen; Lücke, Jörg: Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach, 2012, <https://arxiv.org/abs/1201.2605>
245.Tepper, Mariano; Musé, Pablo; Almansa, Andrés: On the Role of Contrast and Regularity in Perceptual Boundary Saliency, 2012, <https://arxiv.org/abs/1210.3718>
246.Zaidenberg, Sofia; Boulay, Bernard; Bremond, François: A generic framework for video understanding applied to group behavior recognition, 2012, <https://arxiv.org/abs/1206.5065>
247.Wang, Yang; Tan, Tele: Adaptive Foreground and Shadow Detection inImage Sequences, 2012, <https://arxiv.org/abs/1301.0612>
248.Abeles, Peter: Resolving Implementation Ambiguity and Improving SURF, 2012, <https://arxiv.org/abs/1202.0492>
249.Quesada, Luis; León, Alejandro J.: Filling-Based Techniques Applied to Object Projection Feature Estimation, 2012, <https://arxiv.org/abs/1202.6586>
250.Quesada, Luis: Using Barriers to Reduce the Sensitivity to Edge Miscalculations of Casting-Based Object Projection Feature Estimation, 2012, <https://arxiv.org/abs/1203.0076>
251.Chitra, S.; Bhattacharjee, J. B.; Thilakavathi, B.: Image Fusion and Re-Modified SPIHT for Fused Image, 2012, <https://arxiv.org/abs/1203.0265>
252.Kong, Shu; Wang, Donghui: Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy, 2012, <https://arxiv.org/abs/1203.0488>
253.Kong, Shu; Wang, Donghui: A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example, 2012, <https://arxiv.org/abs/1203.0744>
254.Katsuki, Takayuki; Inoue, Masato: Posterior Mean Super-Resolution with a Compound Gaussian Markov Random Field Prior, 2012, <https://arxiv.org/abs/1203.0781>
255.Kong, Shu; Wang, Donghui: Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method, 2012, <https://arxiv.org/abs/1203.0856>
256.Basu, Subhadip; Das, Nibaran; Sarkar, Ram; Kundu, Mahantapas; Nasipuri, Mita; Basu, Dipak Kumar: An MLP based Approach for Recognition of Handwritten \`Bangla' Numerals, 2012, <https://arxiv.org/abs/1203.0876>
257.Basu, Subhadip; Das, Nibaran; Sarkar, Ram; Kundu, Mahantapas; Nasipuri, Mita; Basu, Dipak Kumar: Handwritten Bangla Alphabet Recognition using an MLP Based Classifier, 2012, <https://arxiv.org/abs/1203.0882>
258.Băzăvan, Eduard Gabriel; Li, Fuxin; Sminchisescu, Cristian: Learning Random Kernel Approximations for Object Recognition, 2012, <https://arxiv.org/abs/1203.1483>
259.Bruna, Joan; Mallat, Stéphane: Invariant Scattering Convolution Networks, 2012, <https://arxiv.org/abs/1203.1513>
260.Kom, Guillaume; Tiedeu, Alain; Kom, Martin; Ngundam, John: A comparative evaluation of two algorithms of detection of masses on mammograms, 2012, <https://arxiv.org/abs/1203.1765>
261.Josephus, Chelsy Sapna; Remya, S.: Enhancement Techniques for Local Content Preservation and Contrast Improvement in Images, 2012, <https://arxiv.org/abs/1203.1823>
262.Sebastian, Bino; Unnikrishnan, A.; Balakrishnan, Kannan: Gray Level Co-Occurrence Matrices: Generalisation and Some New Features, 2012, <https://arxiv.org/abs/1205.4831>
263.Vijayalaxmi, ; Rao, P. Sudhakara; Sreehari, S.: Neural Network Approach for Eye Detection, 2012, <https://arxiv.org/abs/1205.5097>
264.Shu, Kong; Donghui, Wang: A Brief Summary of Dictionary Learning Based Approach for Classification, 2012, <https://arxiv.org/abs/1205.6391>
265.Kong, Shu; Wang, Donghui: A Brief Summary of Dictionary Learning Based Approach for Classification (revised), 2012, <https://arxiv.org/abs/1205.6544>
266.Halder, Amiya; Pramanik, Soumajit: An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural Network based Genetic Algorithm, 2012, <https://arxiv.org/abs/1205.6572>
267.Egger, Jan; Freisleben, Bernd; Nimsky, Christopher; Kapur, Tina: Template-Cut: A Pattern-Based Segmentation Paradigm, 2012, <https://arxiv.org/abs/1205.6605>
268.Gnanasivam, P; Muttan, Dr. S: Fingerprint Gender Classification using Wavelet Transform and Singular Value Decomposition, 2012, <https://arxiv.org/abs/1205.6745>
269.Zhao, Zhizhen; Singer, Amit: Fourier-Bessel rotational invariant eigenimages, 2012, <https://arxiv.org/abs/1211.1968>
270.Singh, Saurabh; Gupta, Abhinav; Efros, Alexei A.: Unsupervised Discovery of Mid-Level Discriminative Patches, 2012, <https://arxiv.org/abs/1205.3137>
271.Lu, Yao; Huang, Kaizhu; Liu, Cheng-Lin: A Fast Projected Fixed-Point Algorithm for Large Graph Matching, 2012, <https://arxiv.org/abs/1207.1114>
272.Zhao, Qian; Meng, Deyu; Xu, Zongben: A recursive divide-and-conquer approach for sparse principal component analysis, 2012, <https://arxiv.org/abs/1211.7219>
273.Khalil, Osama; Habib, Andrew: Viewpoint Invariant Object Detector, 2012, <https://arxiv.org/abs/1212.0030>
274.Sharma, Minakshi: Artificial Neural Network Fuzzy Inference System (ANFIS) For Brain Tumor Detection, 2012, <https://arxiv.org/abs/1212.0059>
275.Raheja, J. L.; Das, Karen; Chaudhary, Ankit: Fingertip Detection: A Fast Method with Natural Hand, 2012, <https://arxiv.org/abs/1212.0134>
276.Prabhakar, C. J.; Kumar, P. U. Praveen: An Image Based Technique for Enhancement of Underwater Images, 2012, <https://arxiv.org/abs/1212.0291>
277.Rao, D. Srinivasa; Seetha, M.; Prasad, M. H. M. Krishna: Comparison of Fuzzy and Neuro Fuzzy Image Fusion Techniques and its Applications, 2012, <https://arxiv.org/abs/1212.0318>
278.Asha, V.; Bhajantri, N. U.; Nagabhushan, P.: GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures, 2012, <https://arxiv.org/abs/1212.0383>
279.Soomro, Khurram; Zamir, Amir Roshan; Shah, Mubarak: UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild, 2012, <https://arxiv.org/abs/1212.0402>
280.Sudhakar, Prasad; Jacques, Laurent; Dubois, Xavier; Antoine, Philippe; Joannes, Luc: Compressive Schlieren Deflectometry, 2012, <https://arxiv.org/abs/1212.0433>
281.Shchepin, Evgeny: A Topological Code for Plane Images, 2012, <https://arxiv.org/abs/1212.0819>
282.Rajabi, Roozbeh; Ghassemian, Hassan: Unmixing of Hyperspectral Data Using Robust Statistics-based NMF, 2012, <https://arxiv.org/abs/1212.0888>
283.Banerji, Debajyoti; Ray, Ranjit; Basu, Jhankar; Basak, Indrajit: Autonomous Navigation by Robust Scan Matching Technique, 2012, <https://arxiv.org/abs/1212.1313>
284.Asha, V.; Bhajantri, N. U.; Nagabhushan, P.: Automatic Detection of Texture Defects Using Texture-Periodicity and Gabor Wavelets, 2012, <https://arxiv.org/abs/1212.1329>
285.Baar, Teun; van Houten, Wiger; Geradts, Zeno: Camera identification by grouping images from database, based on shared noise patterns, 2012, <https://arxiv.org/abs/1207.2641>
286.Gangeh, Mehrdad J.; Duin, Robert P. W.; Romeny, Bart M. ter Haar; Kamel, Mohamed S.: A Two-Stage Combined Classifier in Scale Space Texture Classification, 2012, <https://arxiv.org/abs/1207.4089>
287.Qiu, Qiang; Patel, Vishal M.; Chellappa, Rama: Information-theoretic Dictionary Learning for Image Classification, 2012, <https://arxiv.org/abs/1208.3687>
288.Qiu, Qiang; Chellappa, Rama: A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities, 2012, <https://arxiv.org/abs/1208.4398>
289.Konukoglu, Ender; Glocker, Ben; Criminisi, Antonio; Pohl, Kilian M.: WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity, 2012, <https://arxiv.org/abs/1208.5016>
290.Zhang, Wei; Wang, Xiaogang; Zhao, Deli; Tang, Xiaoou: Graph Degree Linkage: Agglomerative Clustering on a Directed Graph, 2012, <https://arxiv.org/abs/1208.5092>
291.Salmon, Joseph; Willett, Rebecca; Arias-Castro, Ery: A two-stage denoising filter: the preprocessed Yaroslavsky filter, 2012, <https://arxiv.org/abs/1208.6516>
292.Dilawari, Jaswinder Singh; Khanna, Ravinder: Creation of Digital Test Form for Prepress Department, 2012, <https://arxiv.org/abs/1209.5039>
293.Dilawari, Jaswinder Singh; Khanna, Ravinder: Image Classification and Optimized Image Reproduction, 2012, <https://arxiv.org/abs/1209.5040>
294.Dilawari, Jaswinder Singh; Khanna, Ravinder: An Implementation of Computer Graphics as Prepress Image Enhancement Process, 2012, <https://arxiv.org/abs/1209.5041>
295.Dilawari, Jaswinder Singh; Khanna, Ravinder: Reproduction of Images by Gamut Mapping and Creation of New Test Charts in Prepress Process, 2012, <https://arxiv.org/abs/1209.6037>
296.Brunton, Alan; Salazar, Augusto; Bolkart, Timo; Wuhrer, Stefanie: Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces, 2012, <https://arxiv.org/abs/1209.6491>
297.Dilawari, Jaswinder Singh; Khanna, Ravinder: Developing ICC Profile Using Gray Level Control In Offset Printing Process, 2012, <https://arxiv.org/abs/1210.5732>
298.Dilawari, Jaswinder Singh; Khanna, Ravinder: Different Operating Systems Compatible for Image Prepress Process in Color Management: Analysis and Performance Testing, 2012, <https://arxiv.org/abs/1211.1650>
299.Chaudhury, Kunal N.: Acceleration of the shiftable O(1) algorithm for bilateral filtering and non-local means, 2012, <https://arxiv.org/abs/1203.5128>
300.Rajaei, Boshra; Maugey, Thomas; Pourreza, Hamid-Reza; Frossard, Pascal: Rate-Distortion Analysis of Multiview Coding in a DIBR Framework, 2012, <https://arxiv.org/abs/1211.4499>
301.Bhuyan, Monowar H.; Bhattacharyya, D. K.: An Effective Fingerprint Classification and Search Method, 2012, <https://arxiv.org/abs/1211.4503>
302.Jassim, Firas A.; Qassim, Hind E.: Five Modulus Method For Image Compression, 2012, <https://arxiv.org/abs/1211.4591>
303.Bhuyan, Monowar H.; Saharia, Sarat; Bhattacharyya, Dhruba Kr: An Effective Method for Fingerprint Classification, 2012, <https://arxiv.org/abs/1211.4658>
304.Sundaramoorthi, Ganesh; Yang, Yanchao: Matching Through Features and Features Through Matching, 2012, <https://arxiv.org/abs/1211.4771>
305.Beijbom, Oscar: Domain Adaptations for Computer Vision Applications, 2012, <https://arxiv.org/abs/1211.4860>
306.Kundu, Raka; Chakrabarti, Amlan; Lenka, Prasanna K.: Cobb Angle Measurement of Scoliosis with Reduced Variability, 2012, <https://arxiv.org/abs/1211.5355>
307.Pele, Ofir; Werman, Michael: Improving Perceptual Color Difference using Basic Color Terms, 2012, <https://arxiv.org/abs/1211.5556>
308."Ersoy, Dalton Lunga 'and' Okan;: Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization, 2012, <https://arxiv.org/abs/1211.6675>
309.Qaffou, Issam; Sadgal, Mohamed; Elfazziki, Aziz: A New Automatic Method to Adjust Parameters for Object Recognition, 2012, <https://arxiv.org/abs/1211.6971>
310.Jayawardena, Srimal; Yang, Di; Hutter, Marcus: 3D Model Assisted Image Segmentation, 2012, <https://arxiv.org/abs/1202.1943>
311.Gangeh, Mehrdad J.; Ghodsi, Ali; Kamel, Mohamed S.: Kernelized Supervised Dictionary Learning, 2012, <https://arxiv.org/abs/1207.2488>
312.Gangeh, Mehrdad J.; Ghodsi, Ali; Kamel, Mohamed S.: Supervised Texture Classification Using a Novel Compression-Based Similarity Measure, 2012, <https://arxiv.org/abs/1207.3071>
313.Ekhtiyar, Hesam; Sheida, Mehdi; Moghadam, Somaye Sobati: Model based neuro-fuzzy ASR on Texas processor, 2012, <https://arxiv.org/abs/1209.5417>
314.Saidin, Nafiza; Sakim, Harsa Amylia Mat; Ngah, Umi Kalthum; Shuaib, Ibrahim Lutfi: Segmentation of Breast Regions in Mammogram Based on Density: A Review, 2012, <https://arxiv.org/abs/1209.5494>
315.Souli, Sameh; Lachiri, Zied: Environmental Sounds Spectrogram Classification using Log-Gabor Filters and Multiclass Support Vector Machines, 2012, <https://arxiv.org/abs/1209.5756>
316.Le, Thai Hoang; Vo, Truong Nhat: Face Alignment Using Active Shape Model And Support Vector Machine, 2012, <https://arxiv.org/abs/1209.6151>
317.Popescu-Bodorin, Nicolaie; Balas, Valentina E.; Motoc, Iulia M.: The Biometric Menagerie - A Fuzzy and Inconsistent Concept, 2012, <https://arxiv.org/abs/1209.6189>
318.Motoc, Iulia M.; Noaica, Cristina M.; Badea, Robert; Ghica, Claudiu G.: Noise Influence on the Fuzzy-Linguistic Partitioning of Iris Code Space, 2012, <https://arxiv.org/abs/1209.6190>
319.Kharinov, M.: Reclassification formula that provides to surpass K-means method, 2012, <https://arxiv.org/abs/1209.6204>
320.David, Omid; Gerrah, Rabin: In Vivo Quantification of Clot Formation in Extracorporeal Circuits, 2012, <https://arxiv.org/abs/1212.5454>
321.Karrenbauer, Andreas; Wöll, Dominik: Blinking Molecule Tracking, 2012, <https://arxiv.org/abs/1212.5877>
322.Ali, Sajid: Gender Recognition in Walk Gait through 3D Motion by Quadratic Bezier Curve and Statistical Techniques, 2012, <https://arxiv.org/abs/1211.1482>
323.Carlinet, Edwin; Géraud, Thierry: A fair comparison of many max-tree computation algorithms (Extended version of the paper submitted to ISMM 2013, 2012, <https://arxiv.org/abs/1212.1819>
324.Yu, Yen-Yun; Fletcher, P. Thomas; Awate, Suyash P.: Hierarchical Graphical Models for Multigroup Shape Analysis using Expectation Maximization with Sampling in Kendall's Shape Space, 2012, <https://arxiv.org/abs/1212.5720>
325.Moukalled, H. J.: On Automation and Medical Image Interpretation, With Applications for Laryngeal Imaging, 2012, <https://arxiv.org/abs/1212.6933>
326.AlMahafzah, Harbi; AlRwashdeh, Maen Zaid: A Survey of Multibiometric Systems, 2012, <https://arxiv.org/abs/1210.0829>
327.Estellers, Virginia; Thiran, Jean-Philippe; Bresson, Xavier: Enhanced Compressed Sensing Recovery with Level Set Normals, 2012, <https://arxiv.org/abs/1210.3350>
328.Ram, Idan; Elad, Michael; Cohen, Israel: Image Processing using Smooth Ordering of its Patches, 2012, <https://arxiv.org/abs/1210.3832>
329.Peng, Xi; Yu, Zhiding; Tang, Huajin; Yi, Zhang: Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering, 2012, <https://arxiv.org/abs/1209.0841>
330.Arabadjis, Dimitris; Rousopoulos, Panayiotis; Papaodysseus, Constantin; Exarhos, Michalis; Panagopoulos, Michalis; Papazoglou-Manioudaki, Lena: Optimization in Differentiable Manifolds in Order to Determine the Method of Construction of Prehistoric Wall-Paintings, 2012, <https://arxiv.org/abs/1210.2629>
331.Chaudhury, Kunal N.; Singer, Amit: Non-Local Patch Regression: Robust Image Denoising in Patch Space, 2012, <https://arxiv.org/abs/1211.4264>
332.Barbu, Andrei; Bridge, Alexander; Burchill, Zachary; Coroian, Dan; Dickinson, Sven; Fidler, Sanja; Michaux, Aaron; Mussman, Sam; Narayanaswamy, Siddharth; Salvi, Dhaval; Schmidt, Lara; Shangguan, Jiangnan; Siskind, Jeffrey Mark; Waggoner, Jarrell; Wang, Song; Wei, Jinlian; Yin, Yifan; Zhang, Zhiqi: Video In Sentences Out, 2012, <https://arxiv.org/abs/1204.2742>
333.Meyer, Fernand: Watersheds, waterfalls, on edge or node weighted graphs, 2012, <https://arxiv.org/abs/1204.2837>
334.Li, Xi; Shen, Chunhua; Shi, Qinfeng; Dick, Anthony; Hengel, Anton van den: Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning, 2012, <https://arxiv.org/abs/1204.2912>
335.Chakrabarti, Ayan; Zickler, Todd: Image Restoration with Signal-dependent Camera Noise, 2012, <https://arxiv.org/abs/1204.2994>
336.Barbu, Andrei; Bridge, Alexander; Coroian, Dan; Dickinson, Sven; Mussman, Sam; Narayanaswamy, Siddharth; Salvi, Dhaval; Schmidt, Lara; Shangguan, Jiangnan; Siskind, Jeffrey Mark; Waggoner, Jarrell; Wang, Song; Wei, Jinlian; Yin, Yifan; Zhang, Zhiqi: Large-Scale Automatic Labeling of Video Events with Verbs Based on Event-Participant Interaction, 2012, <https://arxiv.org/abs/1204.3616>
337.Sermanet, Pierre; Chintala, Soumith; LeCun, Yann: Convolutional Neural Networks Applied to House Numbers Digit Classification, 2012, <https://arxiv.org/abs/1204.3968>
338.Khan, Aamir; Farhan, Muhammad; Ali, Asar: Speech Recognition: Increasing Efficiency of Support Vector Machines, 2012, <https://arxiv.org/abs/1204.4257>
339.Chaudhry, Rizwan; Hager, Gregory; Vidal, Rene: Dynamic Template Tracking and Recognition, 2012, <https://arxiv.org/abs/1204.4476>
340.Bagon, Shai; Galun, Meirav: A Unified Multiscale Framework for Discrete Energy Minimization, 2012, <https://arxiv.org/abs/1204.4867>
341.Kumar, Manoj; Kaushik, Vikas; Singla, Pradeep: A New Approach of Improving CFA Image for Digital Camera's, 2012, <https://arxiv.org/abs/1204.5416>
342.Reininghaus, Jan; Günther, David; Hotz, Ingrid; Weinkauf, Tino; Seidel, Hans Peter: Combinatorial Gradient Fields for 2D Images with Empirically Convergent Separatrices, 2012, <https://arxiv.org/abs/1208.6523>
343.Dey, Nilanjan; Pal, Moumita; Das, Achintya: A Session Based Blind Watermarking Technique within the NROI of Retinal Fundus Images for Authentication Using DWT, Spread Spectrum and Harris Corner Detection, 2012, <https://arxiv.org/abs/1209.0053>
344.Dey, Nilanjan; Roy, Anamitra Bardhan; Pal, Moumita; Das, Achintya: FCM Based Blood Vessel Segmentation Method for Retinal Images, 2012, <https://arxiv.org/abs/1209.1181>
345.Dey, Nilanjan; Das, Achintya; Chaudhuri, Sheli Sinha: Wavelet Based Normal and Abnormal Heart Sound Identification using Spectrogram Analysis, 2012, <https://arxiv.org/abs/1209.1224>
346.Dey, Nilanjan; Nandi, Pradipti; Barman, Nilanjana; Das, Debolina; Chakraborty, Subhabrata: A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique, 2012, <https://arxiv.org/abs/1209.1558>
347.Mukhopadhyay, Sayantan; Biswas, Shouvik; Roy, Anamitra Bardhan; Dey, Nilanjan: Wavelet Based QRS Complex Detection of ECG Signal, 2012, <https://arxiv.org/abs/1209.1563>
348.Moschetti, Elsa E.; Palacio, M. Gabriela; Picco, Mery; Bustos, Oscar H.; Frery, Alejandro C.: On the Use of Lee's Protocol for Speckle-Reducing Techniques, 2012, <https://arxiv.org/abs/1209.1788>
349.Eynard, Davide; Glashoff, Klaus; Bronstein, Michael M.; Bronstein, Alexander M.: Multimodal diffusion geometry by joint diagonalization of Laplacians, 2012, <https://arxiv.org/abs/1209.2295>
350.Burger, Harold Christopher; Schuler, Christian J.; Harmeling, Stefan: Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds, 2012, <https://arxiv.org/abs/1211.1544>
351.Burger, Harold Christopher; Schuler, Christian J.; Harmeling, Stefan: Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms, 2012, <https://arxiv.org/abs/1211.1552>
352.Anand, Abhishek; Li, Sherwin: 3D Scene Grammar for Parsing RGB-D Pointclouds, 2012, <https://arxiv.org/abs/1211.1752>
353.Hassen, Hamdi; khemakhem, Maher: A Comparative study of Arabic handwritten characters invariant feature, 2012, <https://arxiv.org/abs/1211.1800>
354.Ejbali, Ridha; Zaied, Mourad; Amar, Chokri Ben: Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic Units for Speech Recognition, 2012, <https://arxiv.org/abs/1211.2007>
355.J., Rehna V.; Jeyakumar, M. K.: Time Complexity Analysis of Binary Space Partitioning Scheme for Image Compression, 2012, <https://arxiv.org/abs/1211.2037>
356.Prabhakar, C. J.; Kumar, P. U. Praveen: 3D Surface Reconstruction of Underwater Objects, 2012, <https://arxiv.org/abs/1211.2082>
357.Arunkumar, S; Sahu, Pallab Kumar; Gorai, Sudeep; Ghosh, Kalyan: Localisation of Numerical Date Field in an Indian Handwritten Document, 2012, <https://arxiv.org/abs/1211.2116>
358.Halima, Mohamed Ben; karray, Hichem; Alimi, Adel. M.; Vila, Ana Fernández: NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR, 2012, <https://arxiv.org/abs/1211.2150>
359.El-Sayed, Mohamed A.: A New Algorithm Based Entropic Threshold for Edge Detection in Images, 2012, <https://arxiv.org/abs/1211.2500>
360.El-Sayed, Mohamed A.; Hafeez, Tarek Abd-El: New Edge Detection Technique based on the Shannon Entropy in Gray Level Images, 2012, <https://arxiv.org/abs/1211.2502>
361.Vashisht, Vasudha; Choudhury, Tanupriya; Prasad, T. V.: Sketch Recognition using Domain Classification, 2012, <https://arxiv.org/abs/1211.2742>
362.Chung, Junyoung; Lee, Donghoon; Seo, Youngjoo; Yoo, Chang D.: Deep Attribute Networks, 2012, <https://arxiv.org/abs/1211.2881>
363.Akram, Saad; Beskow, Jonas; Kjellstrom, Hedvig: Visual Recognition of Isolated Swedish Sign Language Signs, 2012, <https://arxiv.org/abs/1211.3901>
364.Li, Han; Gai, Kun; Gong, Pinghua; Zhang, Changshui: Efficient Superimposition Recovering Algorithm, 2012, <https://arxiv.org/abs/1211.4307>
365.Shrivastava, Vivek; Sharma, Navdeep: Artificial Neural Network Based Optical Character Recognition, 2012, <https://arxiv.org/abs/1211.4385>
366.Gonalez-Diaz, Rocio; Lamar, Javier; Umble, Ronald: Cups Products in Z2-Cohomology of 3D Polyhedral Complexes, 2012, <https://arxiv.org/abs/1207.2346>
367.Padmavathi, S.; Archana, N.; Soman, K. P.: Hierarchical Approach for Total Variation Digital Image Inpainting, 2012, <https://arxiv.org/abs/1207.3576>
368.Srivastava, Madhur; Yashu, Yashwant; Singh, Satish K.; Panigrahi, Prasanta K.: Multisegmentation through wavelets: Comparing the efficacy of Daubechies vs Coiflets, 2012, <https://arxiv.org/abs/1207.5007>
369.Rehna, V. J.; Kumar, M. K. Jeya: Wavelet Based Image Coding Schemes : A Recent Survey, 2012, <https://arxiv.org/abs/1209.2515>
370.Dundar, Aysegul; Jin, Jonghoon; Culurciello, Eugenio: Visual Tracking with Similarity Matching Ratio, 2012, <https://arxiv.org/abs/1209.2696>
371.Padmavathi, S.; Soman, B. Priyalakshmi. Dr. K. P.: Hirarchical Digital Image Inpainting Using Wavelets, 2012, <https://arxiv.org/abs/1209.2816>
372.Dey, Nilanjan; Nandi, Pradipti; Barman, Nilanjana: A Novel Approach of Harris Corner Detection of Noisy Images using Adaptive Wavelet Thresholding Technique, 2012, <https://arxiv.org/abs/1209.2903>
373.Tander, Baran; Özmen, Atilla; Başkan, Murat: Detection and Classification of Viewer Age Range Smart Signs at TV Broadcast, 2012, <https://arxiv.org/abs/1209.3113>
374.Zawbaa, Hossam M.; Aly, Salah A.; Gutub, Adnan A.: A Hajj And Umrah Location Classification System For Video Crowded Scenes, 2012, <https://arxiv.org/abs/1209.3433>
375.Zhang, Haichao; Wipf, David; Zhang, Yanning: Image Super-Resolution via Sparse Bayesian Modeling of Natural Images, 2012, <https://arxiv.org/abs/1209.4317>
376.Wang, Chao: Head Frontal-View Identification Using Extended LLE, 2012, <https://arxiv.org/abs/1209.4419>
377.LI, Lan-Ting: An Efficient Color Face Verification Based on 2-Directional 2-Dimensional Feature Extraction, 2012, <https://arxiv.org/abs/1209.4420>
378.Bergstra, J.; Yamins, D.; Cox, D. D.: Making a Science of Model Search, 2012, <https://arxiv.org/abs/1209.5111>
379.Behi, Tarek; Arous, Najet; Ellouze, Noureddine: Spike Timing Dependent Competitive Learning in Recurrent Self Organizing Pulsed Neural Networks Case Study: Phoneme and Word Recognition, 2012, <https://arxiv.org/abs/1209.5245>
380.Meyer, Fernand: The watershed concept and its use in segmentation : a brief history, 2012, <https://arxiv.org/abs/1202.0216>
381.Thakur, Gautam S.; Ali, Mohsen; Hui, Pan; Helmy, Ahmed: Comparing Background Subtraction Algorithms and Method of Car Counting, 2012, <https://arxiv.org/abs/1202.0549>
382.Herrera, Roberto Henry; Orozco, Rubén; Rodríguez, Manuel: Wavelet-based deconvolution of ultrasonic signals in nondestructive evaluation, 2012, <https://arxiv.org/abs/1202.0609>
383.Pavan, K. Karteeka; Rao, Allam Appa; Rao, A. V. Dattatreya; Sridhar, G. R.: Robust seed selection algorithm for k-means type algorithms, 2012, <https://arxiv.org/abs/1202.1585>
384.Pavan, K. Karteeka; Rao, Allam Appa; Rao, A. V. Dattatreya: Automatic Clustering with Single Optimal Solution, 2012, <https://arxiv.org/abs/1202.1587>
385.Balas, Valentina E.; Motoc, Iulia M.; Barbulescu, Alina: Combined Haar-Hilbert and Log-Gabor Based Iris Encoders, 2012, <https://arxiv.org/abs/1202.1685>
386.Kumar, Upendra; Lahiri, Tapobrata; Pal, Manoj Kumar: Non-parametric convolution based image-segmentation of ill-posed objects applying context window approach, 2012, <https://arxiv.org/abs/1202.1990>
387.Bettadapura, Vinay: Face Expression Recognition and Analysis: The State of the Art, 2012, <https://arxiv.org/abs/1203.6722>
388.Bauer, Stefan; Nolte, Lutz-P.; Reyes, Mauricio: Skull-stripping for Tumor-bearing Brain Images, 2012, <https://arxiv.org/abs/1204.0357>
389.Katyal, Vini; Srivastava, Deepesh: Efficient Fruit Defect Detection and Glare removal Algorithm by anisotropic diffusion and 2D Gabor filter, 2012, <https://arxiv.org/abs/1204.0767>
390.Khan, Aamir; Farooq, Hasan: Principal Component Analysis-Linear Discriminant Analysis Feature Extractor for Pattern Recognition, 2012, <https://arxiv.org/abs/1204.1177>
391.Omee, Farjana Yeasmin; Himel, Shiam Shabbir; Bikas, Md. Abu Naser: A Complete Workflow for Development of Bangla OCR, 2012, <https://arxiv.org/abs/1204.1198>
392.Yamaguchi, Koichiro; Hazan, Tamir; McAllester, David; Urtasun, Raquel: Continuous Markov Random Fields for Robust Stereo Estimation, 2012, <https://arxiv.org/abs/1204.1393>
393.Ng, Choon Boon; Tay, Yong Haur; Goi, Bok Min: Vision-based Human Gender Recognition: A Survey, 2012, <https://arxiv.org/abs/1204.1611>
394.Haboubi, Sofiene; Maddouri, Samia; Amiri, Hamid: Discrimination between Arabic and Latin from bilingual documents, 2012, <https://arxiv.org/abs/1204.1615>
395.Mahjoub, Mohamed Ali; kalti, karim: Image segmentation by adaptive distance based on EM algorithm, 2012, <https://arxiv.org/abs/1204.1629>
396.jayech, Khlifia; mahjoub, mohamed ali: New approach using Bayesian Network to improve content based image classification systems, 2012, <https://arxiv.org/abs/1204.1631>
397.zayane, Oussema; jouini, besma; Mahjoub, Mohamed Ali: Automatic liver segmentation method in CT images, 2012, <https://arxiv.org/abs/1204.1634>
398.Charfi, Moncef; Kherallah, Monji; Baati, Abdelkarim El; Alimi, Adel M.: A New Approach for Arabic Handwritten Postal Addresses Recognition, 2012, <https://arxiv.org/abs/1204.1678>
399.Jayech, Khlifia; Mahjoub, Mohamed Ali: Clustering and Bayesian network for image of faces classification, 2012, <https://arxiv.org/abs/1204.1679>
400.Somasundaram, K.; Vimala, S.: Multi-Level Coding Efficiency with Improved Quality for Image Compression based on AMBTC, 2012, <https://arxiv.org/abs/1204.1704>
401.Khan, Rehanullah; Maqsood, Asad; Khan, Zeeshan; Ishaq, Muhammad; Arif, Arsalan: Skin-color based videos categorization, 2012, <https://arxiv.org/abs/1204.1811>
402.Patil, Babasaheb G.; Subbaraman, Shaila: SVD-EBP Algorithm for Iris Pattern Recognition, 2012, <https://arxiv.org/abs/1204.2062>
403.Khandait, S. P.; Thool, R. C.; Khandait, P. D.: Automatic facial feature extraction and expression recognition based on neural network, 2012, <https://arxiv.org/abs/1204.2073>
404.Ng, Jun Yee; Tay, Yong Haur: Image-based Vehicle Classification System, 2012, <https://arxiv.org/abs/1204.2114>
405.Meyer, Fernand: The steepest watershed: from graphs to images, 2012, <https://arxiv.org/abs/1204.2134>
406.Bejuri, Wan Mohd Yaakob Wan; Mohamad, Mohd Murtadha; Sapri, Maimunah; Rosly, Mohd Adly: Ubiquitous WLAN/Camera Positioning using Inverse Intensity Chromaticity Space-based Feature Detection and Matching: A Preliminary Result, 2012, <https://arxiv.org/abs/1204.2294>
407.Chary, R. Venkata Ramana; Lakshmi, D. Rajya; Sunitha, K. V. N.: Feature Extraction Methods for Color Image Similarity, 2012, <https://arxiv.org/abs/1204.2336>
408.Wang, Quan: Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models, 2012, <https://arxiv.org/abs/1207.3538>
409.Trapeznikov, Kirill; Saligrama, Venkatesh; Castanon, David: Multi-Stage Classifier Design, 2012, <https://arxiv.org/abs/1205.4377>
410.Aly, Salah A.: Pilgrims Face Recognition Dataset &#x2013; HUFRD, 2012, <https://arxiv.org/abs/1205.4463>
411.Ren, Xiang; Lin, Zhouchen: Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures, 2012, <https://arxiv.org/abs/1205.5351>
412.Liu, Jingwei; Xu, Meizhi: Penalty Constraints and Kernelization of M-Estimation Based Fuzzy C-Means, 2012, <https://arxiv.org/abs/1207.4417>
413.Tang, Zhongwei; von Gioi, Rafael Grompone; Monasse, Pascal; Morel, Jean-Michel: High-precision camera distortion measurements with a "calibration harp", 2012, <https://arxiv.org/abs/1212.5656>
414.Huang, Chang; Zhu, Shenghuo; Yu, Kai: Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval, 2012, <https://arxiv.org/abs/1212.6094>
415.Sankaranarayanan, Aswin C; Turaga, Pavan K; Chellappa, Rama; Baraniuk, Richard G: Compressive Acquisition of Dynamic Scenes, 2012, <https://arxiv.org/abs/1201.4895>
416.Barbu, Andrei; Michaux, Aaron; Narayanaswamy, Siddharth; Siskind, Jeffrey Mark: Simultaneous Object Detection, Tracking, and Event Recognition, 2012, <https://arxiv.org/abs/1204.2741>
417.Narayanaswamy, Siddharth; Barbu, Andrei; Siskind, Jeffrey Mark: Seeing Unseeability to See the Unseeable, 2012, <https://arxiv.org/abs/1204.2801>
418.Burgi, Pierre-Yves; Yuille, Alan L.; Grzywacz, Norberto M.: Probabilistic Motion Estimation Based on Temporal Coherence, 2012, <https://arxiv.org/abs/1201.1216>
419.Vitanyi, P. M. B.: Information Distance: New Developments, 2012, <https://arxiv.org/abs/1201.1221>
420.Gebreyohannes, Tina; Kim, Dong-Yoon: Adaptive Noise Reduction Scheme for Salt and Pepper, 2012, <https://arxiv.org/abs/1201.2050>
421.Mayiami, Mahmoud Ramezani; Seyfe, Babak: Nonparametric Sparse Representation, 2012, <https://arxiv.org/abs/1201.2843>
422.Qiyang, Zhao: NegCut: Automatic Image Segmentation based on MRF-MAP, 2012, <https://arxiv.org/abs/1201.2905>


### t-SNE 2889 images stat.ML 2012

1.  Häusler, Chris; Susemihl, Alex: Temporal Autoencoding Restricted Boltzmann Machine, 2012, <https://arxiv.org/abs/1210.8353>
2.  Sun, Ju; Zhang, Yuqian; Wright, John: Efficient Point-to-Subspace Query in \(\ell^1\): Theory and Applications in Computer Vision, 2012, <https://arxiv.org/abs/1211.0757>
3.  Montufar, Guido F.; Morton, Jason: Kernels and Submodels of Deep Belief Networks, 2012, <https://arxiv.org/abs/1211.0932>
4.  Khaleghi, Azadeh; Ryabko, Daniil: Multiple Change Point Estimation in Stationary Ergodic Time Series, 2012, <https://arxiv.org/abs/1203.1515>
5.  Lafferty, John; Liu, Han; Wasserman, Larry: Sparse Nonparametric Graphical Models, 2012, <https://arxiv.org/abs/1201.0794>
6.  Vats, Divyanshu: High-Dimensional Screening Using Multiple Grouping of Variables, 2012, <https://arxiv.org/abs/1208.2043>
7.  Hisano, Ryohei; Sornette, Didier; Mizuno, Takayuki; Ohnishi, Takaaki; Watanabe, Tsutomu: High quality topic extraction from business news explains abnormal financial market volatility, 2012, <https://arxiv.org/abs/1210.6321>
8.  Park, Youngser; Priebe, Carey E.; Youssef, Abdou: Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants, 2012, <https://arxiv.org/abs/1210.8429>
9.  Dewar, Michael; Wiggins, Chris; Wood, Frank: Inference in Hidden Markov Models with Explicit State Duration Distributions, 2012, <https://arxiv.org/abs/1203.0038>
10. Lee, Jason D.; Sun, Yuekai; Saunders, Michael A.: Proximal Newton-type methods for minimizing composite functions, 2012, <https://arxiv.org/abs/1206.1623>
11. Morvant, Emilie; Koço, Sokol; Ralaivola, Liva: PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification, 2012, <https://arxiv.org/abs/1202.6228>
12. Liu, Ji; Wright, Stephen J.: Robust Dequantized Compressive Sensing, 2012, <https://arxiv.org/abs/1207.0577>
13. Zhang, Yuchen; Duchi, John C.; Wainwright, Martin: Comunication-Efficient Algorithms for Statistical Optimization, 2012, <https://arxiv.org/abs/1209.4129>
14. Loh, Po-Ling; Wainwright, Martin J.: Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses, 2012, <https://arxiv.org/abs/1212.0478>
15. Kaufmann, Emilie; Korda, Nathaniel; Munos, Rémi: Thompson Sampling: An Asymptotically Optimal Finite Time Analysis, 2012, <https://arxiv.org/abs/1205.4217>
16. Sharpnack, James; Krishnamurthy, Akshay; Singh, Aarti: Detecting Activations over Graphs using Spanning Tree Wavelet Bases, 2012, <https://arxiv.org/abs/1206.0937>
17. Toole, Jameson L.; Ulm, Michael; Bauer, Dietmar; Gonzalez, Marta C.: Inferring land use from mobile phone activity, 2012, <https://arxiv.org/abs/1207.1115>
18. Liu, Han; Han, Fang; Yuan, Ming; Lafferty, John; Wasserman, Larry: High Dimensional Semiparametric Gaussian Copula Graphical Models, 2012, <https://arxiv.org/abs/1202.2169>
19. Anandkumar, A.; Hsu, D.; Huang, F.; Kakade, S. M.: Learning High-Dimensional Mixtures of Graphical Models, 2012, <https://arxiv.org/abs/1203.0697>
20. Kekatos, Vassilis; Giannakis, Georgios B.: Distributed Robust Power System State Estimation, 2012, <https://arxiv.org/abs/1204.0991>
21. Volant, Stevenn; Bérard, Caroline; Martin-Magniette, Marie-Laure; Robin, Stéphane: Hidden Markov Models with mixtures as emission distributions, 2012, <https://arxiv.org/abs/1206.5102>
22. Khoshgnauz, Ehsan: Learning Markov Network Structure using Brownian Distance Covariance, 2012, <https://arxiv.org/abs/1206.6361>
23. Simon, Noah; Tibshirani, Robert: A Permutation Approach to Testing Interactions in Many Dimensions, 2012, <https://arxiv.org/abs/1206.6519>
24. Zhang, Youwei; Ghaoui, Laurent El: Large-Scale Sparse Principal Component Analysis with Application to Text Data, 2012, <https://arxiv.org/abs/1210.7054>
25. Kövesárki, Péter: Polynomial expansion of the binary classification function, 2012, <https://arxiv.org/abs/1203.5647>
26. Foster, Dean P.; Rodu, Jordan; Ungar, Lyle H.: Spectral dimensionality reduction for HMMs, 2012, <https://arxiv.org/abs/1203.6130>
27. Schwartz, Yannick; Varoquaux, Gaël; Pallier, Christophe; Pinel, Philippe; Poline, Jean-Baptiste; Thirion, Bertrand: Improving accuracy and power with transfer learning using a meta-analytic database, 2012, <https://arxiv.org/abs/1209.5375>
28. Jenatton, Rodolphe; Gribonval, Rémi; Bach, Francis: Local stability and robustness of sparse dictionary learning in the presence of noise, 2012, <https://arxiv.org/abs/1210.0685>
29. Agarwal, Alekh; Negahban, Sahand; Wainwright, Martin J.: Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions, 2012, <https://arxiv.org/abs/1207.4421>
30. Rezek, Iead; Beckmann, Christian: Models of Disease Spectra, 2012, <https://arxiv.org/abs/1207.4674>
31. Eriksson, Brian: Hierarchical Clustering using Randomly Selected Similarities, 2012, <https://arxiv.org/abs/1207.4748>
32. Shpitser, Ilya; Richardson, Thomas S.; Robins, James M.; Evans, Robin: Parameter and Structure Learning in Nested Markov Models, 2012, <https://arxiv.org/abs/1207.5058>
33. Sussman, Daniel L.; Tang, Minh; Priebe, Carey E.: Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs, 2012, <https://arxiv.org/abs/1207.6745>
34. Gillis, Nicolas; Vavasis, Stephen A.: Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization, 2012, <https://arxiv.org/abs/1208.1237>
35. Kadri, Hachem; Rakotomamonjy, Alain; Bach, Francis; Preux, Philippe: Multiple Operator-valued Kernel Learning, 2012, <https://arxiv.org/abs/1203.1596>
36. Psorakis, Ioannis; Rezek, Iead; Frankel, Zach; Roberts, Stephen J.: Bayesian one-mode projection for dynamic bipartite graphs, 2012, <https://arxiv.org/abs/1212.2767>
37. Richtárik, Peter; Takáč, Martin; Ahipaşaoğlu, Selin Damla: Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes, 2012, <https://arxiv.org/abs/1212.4137>
38. Scherrer, Chad; Tewari, Ambuj; Halappanavar, Mahantesh; Haglin, David: Feature Clustering for Accelerating Parallel Coordinate Descent, 2012, <https://arxiv.org/abs/1212.4174>
39. Staines, Joe; Barber, David: Variational Optimization, 2012, <https://arxiv.org/abs/1212.4507>
40. Chaudhuri, Kamalika; Sarwate, Anand D.; Sinha, Kaushik: Near-Optimal Algorithms for Differentially-Private Principal Components, 2012, <https://arxiv.org/abs/1207.2812>
41. Song, Zhao; Dogandzic, Aleksandar: A Max-Product EM Algorithm for Reconstructing Markov-tree Sparse Signals from Compressive Samples, 2012, <https://arxiv.org/abs/1209.1064>
42. Xu, Tu; Wang, Junhui: An efficient model-free estimation of multiclass conditional probability, 2012, <https://arxiv.org/abs/1209.4951>
43. Grandvalet, Yves; Chiquet, Julien; Ambroise, Christophe: Sparsity by Worst-Case Penalties, 2012, <https://arxiv.org/abs/1210.2077>
44. Nguyen, Jennifer; Zhu, Mu: Content-boosted Matrix Factorization Techniques for Recommender Systems, 2012, <https://arxiv.org/abs/1210.5631>
45. Gillis, Nicolas: Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices, 2012, <https://arxiv.org/abs/1211.6687>
46. Sun, Wei; Wang, Junhui; Fang, Yixin: Consistent selection of tuning parameters via variable selection stability, 2012, <https://arxiv.org/abs/1208.3380>
47. Janzamin, Majid; Anandkumar, Animashree: High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models, 2012, <https://arxiv.org/abs/1211.0919>
48. Priebe, Carey E.; Sussman, Daniel L.; Tang, Minh; Vogelstein, Joshua T.: Statistical inference on errorfully observed graphs, 2012, <https://arxiv.org/abs/1211.3601>
49. Devaine, Marie; Gaillard, Pierre; Goude, Yannig; Stoltz, Gilles: Forecasting electricity consumption by aggregating specialized experts, 2012, <https://arxiv.org/abs/1207.1965>
50. Entner, Doris; Hoyer, Patrik O.: Estimating a Causal Order among Groups of Variables in Linear Models, 2012, <https://arxiv.org/abs/1207.1977>
51. Wipf, David; Wu, Yi: Dual-Space Analysis of the Sparse Linear Model, 2012, <https://arxiv.org/abs/1207.2422>
52. Wipf, David: Non-Convex Rank Minimization via an Empirical Bayesian Approach, 2012, <https://arxiv.org/abs/1207.2440>
53. Nascimento, Abraão D. C.; Cintra, Renato J.; Frery, Alejandro C.: Hypothesis Testing in Speckled Data with Stochastic Distances, 2012, <https://arxiv.org/abs/1207.2959>
54. Guan, Naiyang; Tao, Dacheng; Luo, Zhigang; Shawe-Taylor, John: MahNMF: Manhattan Non-negative Matrix Factorization, 2012, <https://arxiv.org/abs/1207.3438>
55. "Kar, Soummya; Moura, Jose' M. F.; Poor, H. Vincent;: $QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations, 2012, <https://arxiv.org/abs/1205.0047>
56. El-Arini, Khalid; Fox, Emily B.; Guestrin, Carlos: Concept Modeling with Superwords, 2012, <https://arxiv.org/abs/1204.2523>
57. Conan-Guez, Brieuc; Rossi, Fabrice: Dissimilarity Clustering by Hierarchical Multi-Level Refinement, 2012, <https://arxiv.org/abs/1204.6509>
58. Kanamori, Takafumi; Takeda, Akiko; Suzuki, Taiji: A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems, 2012, <https://arxiv.org/abs/1204.6583>
59. Mairal, Julien; Yu, Bin: Complexity Analysis of the Lasso Regularization Path, 2012, <https://arxiv.org/abs/1205.0079>
60. Haury, Anne-Claire; Mordelet, Fantine; Vera-Licona, Paola; Vert, Jean-Philippe: TIGRESS: Trustful Inference of Gene REgulation using Stability Selection, 2012, <https://arxiv.org/abs/1205.1181>
61. Obozinski, Guillaume; Bach, Francis: Convex Relaxation for Combinatorial Penalties, 2012, <https://arxiv.org/abs/1205.1240>
62. Qian, Jing; Saligrama, Venkatesh; Zhao, Manqi: Graph-based Learning with Unbalanced Clusters, 2012, <https://arxiv.org/abs/1205.1496>
63. Ahmed, Mohamed Osama; Bibalan, Pouyan T.; de Freitas, Nando; Fauvel, Simon: Decentralized, Adaptive, Look-Ahead Particle Filtering, 2012, <https://arxiv.org/abs/1203.2394>
64. Hall, Rob; Rinaldo, Alessandro; Wasserman, Larry: Differential Privacy for Functions and Functional Data, 2012, <https://arxiv.org/abs/1203.2570>
65. Hable, Robert: Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods, 2012, <https://arxiv.org/abs/1203.4354>
66. Michaeli, Tomer; Eldar, Yonina C.; Sapiro, Guillermo: Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training, 2012, <https://arxiv.org/abs/1203.4422>
67. Kadri, Hachem; Ghavamzadeh, Mohammad; Preux, Philippe: A Generalized Kernel Approach to Structured Output Learning, 2012, <https://arxiv.org/abs/1205.2171>
68. Vanhatalo, Jarno; Riihimäki, Jaakko; Hartikainen, Jouni; Jylänki, Pasi; Tolvanen, Ville; Vehtari, Aki: Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox, 2012, <https://arxiv.org/abs/1206.5754>
69. Yamada, Makoto; Jitkrittum, Wittawat; Sigal, Leonid; Xing, Eric P.; Sugiyama, Masashi: High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso, 2012, <https://arxiv.org/abs/1202.0515>
70. Hara, Satoshi; Washio, Takashi: Learning a Common Substructure of Multiple Graphical Gaussian Models, 2012, <https://arxiv.org/abs/1203.0117>
71. Yuan, Lin; Kirshner, Sergey; Givan, Robert: Estimating Densities with Non-Parametric Exponential Families, 2012, <https://arxiv.org/abs/1206.5036>
72. Vincent, Martin; Hansen, Niels Richard: Sparse group lasso and high dimensional multinomial classification, 2012, <https://arxiv.org/abs/1205.1245>
73. Schaul, Tom; Zhang, Sixin; LeCun, Yann: No More Pesky Learning Rates, 2012, <https://arxiv.org/abs/1206.1106>
74. Zhou, Mingyuan; Carin, Lawrence: Augment-and-Conquer Negative Binomial Processes, 2012, <https://arxiv.org/abs/1209.1119>
75. Xie, Yao; Huang, Jiaji; Willett, Rebecca: Changepoint detection for high-dimensional time series with missing data, 2012, <https://arxiv.org/abs/1208.5062>
76. De Vito, Ernesto; Rosasco, Lorenzo; Toigo, Alessandro: Learning Sets with Separating Kernels, 2012, <https://arxiv.org/abs/1204.3573>
77. Huszár, Ferenc; Duvenaud, David: Optimally-Weighted Herding is Bayesian Quadrature, 2012, <https://arxiv.org/abs/1204.1664>
78. Zhou, Shuheng: Gemini: Graph estimation with matrix variate normal instances, 2012, <https://arxiv.org/abs/1209.5075>
79. Aksu, Yaman: Fast SVM-based Feature Elimination Utilizing Data Radius, Hard-Margin, Soft-Margin, 2012, <https://arxiv.org/abs/1210.4460>
80. Urry, Matthew; Sollich, Peter: Random walk kernels and learning curves for Gaussian process regression on random graphs, 2012, <https://arxiv.org/abs/1211.1328>
81. Altmann, Yoann; Dobigeon, Nicolas; McLaughlin, Steve; Tourneret, Jean-Yves: Nonlinear spectral unmixing of hyperspectral images using Gaussian processes, 2012, <https://arxiv.org/abs/1207.5451>
82. She, Yiyuan; Li, Huanghuang; Wang, Jiangping; Wu, Dapeng: Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection, 2012, <https://arxiv.org/abs/1207.6684>
83. Lebichot, Bertrand; Kivimäki, Ilkka; Françoisse, Kevin; Saerens, Marco: Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness, 2012, <https://arxiv.org/abs/1210.4276>
84. Muandet, Krikamol: Hilbert Space Embedding for Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.4347>
85. Foygel, Rina; Srebro, Nathan; Salakhutdinov, Ruslan: Matrix reconstruction with the local max norm, 2012, <https://arxiv.org/abs/1210.5196>
86. Carpentier, Alexandra; Munos, Rémi: Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions, 2012, <https://arxiv.org/abs/1210.5345>
87. Desjardins, Guillaume; Courville, Aaron; Bengio, Yoshua: Disentangling Factors of Variation via Generative Entangling, 2012, <https://arxiv.org/abs/1210.5474>
88. Gong, Pinghua; Ye, Jieping; Zhang, Changshui: Multi-Stage Multi-Task Feature Learning, 2012, <https://arxiv.org/abs/1210.5806>
89. Montavon, Grégoire; Müller, Klaus-Robert: Learning Feature Hierarchies with Centered Deep Boltzmann Machines, 2012, <https://arxiv.org/abs/1203.3783>
90. Gillis, Nicolas: Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing, 2012, <https://arxiv.org/abs/1204.2436>
91. Burnetas, Apostolos; Kanavetas, Odysseas: Adaptive Policies for Sequential Sampling under Incomplete Information and a Cost Constraint, 2012, <https://arxiv.org/abs/1201.4002>
92. Kondo, Yumi; Salibian-Barrera, Matias; Zamar, Ruben: A robust and sparse K-means clustering algorithm, 2012, <https://arxiv.org/abs/1201.6082>
93. Zhang, Zhilin; Rao, Bhaskar D.: Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation, 2012, <https://arxiv.org/abs/1201.0862>
94. Liu, Song; Yamada, Makoto; Collier, Nigel; Sugiyama, Masashi: Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation, 2012, <https://arxiv.org/abs/1203.0453>
95. Yang, Kun: Least Absolute Gradient Selector: Statistical Regression via Pseudo-Hard Thresholding, 2012, <https://arxiv.org/abs/1204.2353>
96. Zhang, Zhilin; Jung, Tzyy-Ping; Makeig, Scott; Rao, Bhaskar D.: Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning, 2012, <https://arxiv.org/abs/1205.1287>
97. Akdemir, Deniz; Heslot, Nicolas: Soft Rule Ensembles for Statistical Learning, 2012, <https://arxiv.org/abs/1205.4476>
98. Kalajdzievski, Damjan: Measurability Aspects of the Compactness Theorem for Sample Compression Schemes, 2012, <https://arxiv.org/abs/1205.5819>
99. Petrik, Marek: Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds, 2012, <https://arxiv.org/abs/1205.1782>
100.Lee, Seunghak; Xing, Eric P.: Structured Input-Output Lasso, with Application to eQTL Mapping, and a Thresholding Algorithm for Fast Estimation, 2012, <https://arxiv.org/abs/1205.1989>
101.Durut, Matthieu; Patra, Benoît; Rossi, Fabrice: A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms, 2012, <https://arxiv.org/abs/1205.2282>
102.Ortega, Pedro A.; Braun, Daniel A.: Free Energy and the Generalized Optimality Equations for Sequential Decision Making, 2012, <https://arxiv.org/abs/1205.3997>
103.Balasubramanian, Krishnakumar; Yu, Kai; Lebanon, Guy: Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations, 2012, <https://arxiv.org/abs/1210.1121>
104.Kumar, Abhishek; Sindhwani, Vikas; Kambadur, Prabhanjan: Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization, 2012, <https://arxiv.org/abs/1210.1190>
105.Topa, Hande; Honkela, Antti: Gaussian process modelling of multiple short time series, 2012, <https://arxiv.org/abs/1210.2503>
106.Neiswanger, Willie; Wood, Frank: Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures, 2012, <https://arxiv.org/abs/1210.3288>
107.Sabato, Sivan; Srebro, Nathan; Tishby, Naftali: Distribution-Dependent Sample Complexity of Large Margin Learning, 2012, <https://arxiv.org/abs/1204.1276>
108.Mairal, Julien; Yu, Bin: Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows, 2012, <https://arxiv.org/abs/1204.4539>
109.Balakrishnan, Sivaraman; Kolar, Mladen; Rinaldo, Alessandro; Singh, Aarti: Recovering Block-structured Activations Using Compressive Measurements, 2012, <https://arxiv.org/abs/1209.3431>
110.Ndour, Cheikh; Diop, Aliou; Dossou-Gbété, Simplice: Classification approach based on association rules mining for unbalanced data, 2012, <https://arxiv.org/abs/1202.5514>
111.Loh, Wei-Yin; Zheng, Wei: Regression trees for longitudinal and multiresponse data, 2012, <https://arxiv.org/abs/1209.4690>
112.Anandkumar, Animashree; Hsu, Daniel; Javanmard, Adel; Kakade, Sham M.: Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints, 2012, <https://arxiv.org/abs/1209.5350>
113.Yu, Yi; Feng, Yang: APPLE: Approximate Path for Penalized Likelihood Estimators, 2012, <https://arxiv.org/abs/1211.0889>
114.Gönen, Mehmet; Khan, Suleiman A.; Kaski, Samuel: Kernelized Bayesian Matrix Factorization, 2012, <https://arxiv.org/abs/1211.1275>
115.Hsu, Daniel; Kakade, Sham M.; Liang, Percy: Identifiability and Unmixing of Latent Parse Trees, 2012, <https://arxiv.org/abs/1206.3137>
116.Yamada, Makoto; Sigal, Leonid; Raptis, Michalis; Sugiyama, Masashi: Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1206.4116>
117.Fan, Yingying; Jin, Jiashun; Yao, Zhigang: Optimal classification in sparse Gaussian graphic model, 2012, <https://arxiv.org/abs/1212.5332>
118.Goodfellow, Ian J.; Courville, Aaron; Bengio, Yoshua: Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery, 2012, <https://arxiv.org/abs/1201.3382>
119.Albanese, Davide; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Jurman, Giuseppe; Furlanello, Cesare: Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers, 2012, <https://arxiv.org/abs/1208.4271>
120.Lee, Seunghak; Xing, Eric P.: Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity, 2012, <https://arxiv.org/abs/1208.3014>
121.Weiss, David; Sapp, Benjamin; Taskar, Ben: Structured Prediction Cascades, 2012, <https://arxiv.org/abs/1208.3279>
122.Shimizu, Shohei: Learning LiNGAM based on data with more variables than observations, 2012, <https://arxiv.org/abs/1208.4183>
123.Allen, Genevera I.: Regularized Tensor Factorizations and Higher-Order Principal Components Analysis, 2012, <https://arxiv.org/abs/1202.2476>
124.Agarwal, Alekh; Bartlett, Peter L.; Duchi, John C.: Oracle inequalities for computationally adaptive model selection, 2012, <https://arxiv.org/abs/1208.0129>
125.Hadjipantelis, Pantelis Z.; Jones, Nick S.; Moriarty, John; Springate, David; Knight, Christopher G.: Ancestral Inference from Functional Data: Statistical Methods and Numerical Examples, 2012, <https://arxiv.org/abs/1208.0628>
126.Vovk, Vladimir: Cross-conformal predictors, 2012, <https://arxiv.org/abs/1208.0806>
127.Rosasco, Lorenzo; Villa, Silvia; Mosci, Sofia; Santoro, Matteo; verri, Alessandro: Nonparametric sparsity and regularization, 2012, <https://arxiv.org/abs/1208.2572>
128.Vasudevan, Shrihari; Melkumyan, Arman; Scheding, Steven: Information fusion in multi-task Gaussian processes, 2012, <https://arxiv.org/abs/1210.1928>
129.Colombo, Diego; Maathuis, Marloes H.: Order-independent constraint-based causal structure learning, 2012, <https://arxiv.org/abs/1211.3295>
130.Peters, Jonas; Bühlmann, Peter: Identifiability of Gaussian structural equation models with equal error variances, 2012, <https://arxiv.org/abs/1205.2536>
131.Montufar, Guido F.; Rauh, Johannes: Scaling of Model Approximation Errors and Expected Entropy Distances, 2012, <https://arxiv.org/abs/1207.3399>
132.Osting, Braxton; Brune, Christoph; Osher, Stanley J.: Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs, 2012, <https://arxiv.org/abs/1207.6430>
133.Broderick, Tamara; Kulis, Brian; Jordan, Michael I.: MAD-Bayes: MAP-based Asymptotic Derivations from Bayes, 2012, <https://arxiv.org/abs/1212.2126>
134.Urry, Matthew J.; Sollich, Peter: Replica theory for learning curves for Gaussian processes on random graphs, 2012, <https://arxiv.org/abs/1202.5918>
135.Chalupka, Krzysztof; Williams, Christopher K. I.; Murray, Iain: A Framework for Evaluating Approximation Methods for Gaussian Process Regression, 2012, <https://arxiv.org/abs/1205.6326>
136.Ortega, Pedro A.; Grau-Moya, Jordi; Genewein, Tim; Balduzzi, David; Braun, Daniel A.: A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function, 2012, <https://arxiv.org/abs/1206.1898>
137.Argyriou, Andreas; Foygel, Rina; Srebro, Nathan: Sparse Prediction with the $k$-Support Norm, 2012, <https://arxiv.org/abs/1204.5043>
138.Shen, Wen-Jun; Wong, Hau-San; Xiao, Quan-Wu; Guo, Xin; Smale, Stephen: Towards a Mathematical Foundation of Immunology and Amino Acid Chains, 2012, <https://arxiv.org/abs/1205.6031>
139.Chen, Yutian; Welling, Max: Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior, 2012, <https://arxiv.org/abs/1206.1088>
140.Jalali, Ali; Sanghavi, Sujay: A New Greedy Algorithm for Multiple Sparse Regression, 2012, <https://arxiv.org/abs/1206.1402>
141.Zhang, Teng: Robust subspace recovery by Tyler's M-estimator, 2012, <https://arxiv.org/abs/1206.1386>
142.Hoffman, Matt; Blei, David M.; Wang, Chong; Paisley, John: Stochastic Variational Inference, 2012, <https://arxiv.org/abs/1206.7051>
143.Bian, Wei; Tao, Dacheng: Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis, 2012, <https://arxiv.org/abs/1208.3030>
144.Samek, Wojciech; Meinecke, Frank C.; Müller, Klaus-Robert: Transferring Subspaces Between Subjects in Brain-Computer Interfacing, 2012, <https://arxiv.org/abs/1209.4115>
145.Xu, Zhixiang; Kusner, Matt J.; Weinberger, Kilian Q.; Chen, Minmin: Cost-Sensitive Tree of Classifiers, 2012, <https://arxiv.org/abs/1210.2771>
146.Than, Khoat; Ho, Tu Bao: Managing sparsity, time, and quality of inference in topic models, 2012, <https://arxiv.org/abs/1210.7053>
147.Kolar, Mladen; Liu, Han; Xing, Eric P.: Graph Estimation From Multi-attribute Data, 2012, <https://arxiv.org/abs/1210.7665>
148.Azencott, Chloé-Agathe; Grimm, Dominik; Sugiyama, Mahito; Kawahara, Yoshinobu; Borgwardt, Karsten M.: Efficient network-guided multi-locus association mapping with graph cuts, 2012, <https://arxiv.org/abs/1211.2315>
149.Anandkumar, Animashree; Valluvan, Ragupathyraj: Learning loopy graphical models with latent variables: Efficient methods and guarantees, 2012, <https://arxiv.org/abs/1203.3887>
150.Lee, Nam H.; Yoder, Jordan; Tang, Minh; Priebe, Carey E: On latent position inference from doubly stochastic messaging activities, 2012, <https://arxiv.org/abs/1205.5920>
151.Sheikh, Abdul-Saboor; Shelton, Jacquelyn A.; Lücke, Jörg: A Truncated EM Approach for Spike-and-Slab Sparse Coding, 2012, <https://arxiv.org/abs/1211.3589>
152.Iwata, Tomoharu; Duvenaud, David; Ghahramani, Zoubin: Warped Mixtures for Nonparametric Cluster Shapes, 2012, <https://arxiv.org/abs/1206.1846>
153.Riihimäki, Jaakko; Jylänki, Pasi; Vehtari, Aki: Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood, 2012, <https://arxiv.org/abs/1207.3649>
154.Wang, Chong; Blei, David M.: Variational Inference in Nonconjugate Models, 2012, <https://arxiv.org/abs/1209.4360>
155.Kolchinsky, Artemy; Lourenço, Anália; Li, Lang; Rocha, Luis M.: Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions, 2012, <https://arxiv.org/abs/1210.0734>
156.Sindhwani, Vikas; Quang, Minh Ha; Lozano, Aurelie C.: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality, 2012, <https://arxiv.org/abs/1210.4792>
157.Damianou, Andreas C.; Lawrence, Neil D.: Deep Gaussian Processes, 2012, <https://arxiv.org/abs/1211.0358>
158.Daume, Hal; Phillips, Jeff M.; Saha, Avishek; Venkatasubramanian, Suresh: Protocols for Learning Classifiers on Distributed Data, 2012, <https://arxiv.org/abs/1202.6078>
159.McWilliams, Brian; Montana, Giovanni: Subspace clustering of high-dimensional data: a predictive approach, 2012, <https://arxiv.org/abs/1203.1065>
160.Wahlberg, Bo; Boyd, Stephen; Annergren, Mariette; Wang, Yang: An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems, 2012, <https://arxiv.org/abs/1203.1828>
161.Kolar, Mladen; Sharpnack, James: Variance function estimation in high-dimensions, 2012, <https://arxiv.org/abs/1205.4770>
162.Wang, Chamont; Gevertz, Jana; Chen, Chaur-Chin; Auslender, Leonardo: Finding Important Genes from High-Dimensional Data: An Appraisal of Statistical Tests and Machine-Learning Approaches, 2012, <https://arxiv.org/abs/1205.6523>
163.Yamazaki, Keisuke: Asymptotic Accuracy of Distribution-Based Estimation for Latent Variables, 2012, <https://arxiv.org/abs/1204.2069>
164.Wu, Rui; Srikant, R.; Ni, Jian: Learning Loosely Connected Markov Random Fields, 2012, <https://arxiv.org/abs/1204.5540>
165.Abdallah, Samer A.; Plumbley, Mark D.: Predictive Information Rate in Discrete-time Gaussian Processes, 2012, <https://arxiv.org/abs/1206.0304>
166.Snoek, Jasper; Larochelle, Hugo; Adams, Ryan P.: Practical Bayesian Optimization of Machine Learning Algorithms, 2012, <https://arxiv.org/abs/1206.2944>
167.Williamson, Sinead A.; Dubey, Avinava; Xing, Eric P.: Exact and Efficient Parallel Inference for Nonparametric Mixture Models, 2012, <https://arxiv.org/abs/1211.7120>
168.Király, Franz J.; Ziehe, Andreas: Approximate Rank-Detecting Factorization of Low-Rank Tensors, 2012, <https://arxiv.org/abs/1211.7369>
169.Garcia-Cardona, Cristina; Flenner, Arjuna; Percus, Allon G.: Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs, 2012, <https://arxiv.org/abs/1212.0945>
170.Dhanjal, Charanpal; Baskiotis, Nicolas; Clémençon, Stéphan; Usunier, Nicolas: An Empirical Comparison of V-fold Penalisation and Cross Validation for Model Selection in Distribution-Free Regression, 2012, <https://arxiv.org/abs/1212.1780>
171.Germain, Pascal; Habrard, Amaury; Laviolette, François; Morvant, Emilie: PAC-Bayesian Learning and Domain Adaptation, 2012, <https://arxiv.org/abs/1212.2340>
172.Dubey, Avinava; Hefny, Ahmed; Williamson, Sinead; Xing, Eric P.: A non-parametric mixture model for topic modeling over time, 2012, <https://arxiv.org/abs/1208.4411>
173.Mroueh, Youssef; Poggio, Tomaso; Rosasco, Lorenzo; Slotine, Jean-Jacques: Multiclass Learning with Simplex Coding, 2012, <https://arxiv.org/abs/1209.1360>
174.Shalev-Shwartz, Shai; Zhang, Tong: Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization, 2012, <https://arxiv.org/abs/1209.1873>
175.Kivimäki, Ilkka; Shimbo, Masashi; Saerens, Marco: Developments in the theory of randomized shortest paths with a comparison of graph node distances, 2012, <https://arxiv.org/abs/1212.1666>
176.Mahmutoglu, A. Gokcen; Erdogan, Alper T.; Demir, Alper: Random Input Sampling for Complex Models Using Markov Chain Monte Carlo, 2012, <https://arxiv.org/abs/1211.4706>
177.Foti, Nicholas J.; Futoma, Joseph D.; Rockmore, Daniel N.; Williamson, Sinead: A unifying representation for a class of dependent random measures, 2012, <https://arxiv.org/abs/1211.4753>
178.Qian, Junyang; Jia, Jinzhu: On pattern recovery of the fused Lasso, 2012, <https://arxiv.org/abs/1211.5194>
179.Singh, Sumeetpal S.; Chopin, Nicolas; Whiteley, Nick: Bayesian learning of noisy Markov decision processes, 2012, <https://arxiv.org/abs/1211.5901>
180.Rojas, Cristian R.; Katselis, Dimitrios; Hjalmarsson, Håkan: A Note on the SPICE Method, 2012, <https://arxiv.org/abs/1209.4887>
181.Georgiev, Stoyan; Mukherjee, Sayan: Randomized Dimension Reduction on Massive Data, 2012, <https://arxiv.org/abs/1211.1642>
182.Lu, Yichao; Foster, Dean P.: Optimal Weighting of Multi-View Data with Low Dimensional Hidden States, 2012, <https://arxiv.org/abs/1209.5477>
183.Gerrish, Sean M.; Blei, David M.: The Issue-Adjusted Ideal Point Model, 2012, <https://arxiv.org/abs/1209.6004>
184.Cheng, Jie; Levina, Elizaveta; Wang, Pei; Zhu, Ji: Sparse Ising Models with Covariates, 2012, <https://arxiv.org/abs/1209.6342>
185.Hage, Clemens; Kleinsteuber, Martin: Robust PCA and subspace tracking from incomplete observations using L0-surrogates, 2012, <https://arxiv.org/abs/1210.0805>
186.Olteanu, Madalina; Villa-Vialaneix, Nathalie; Cottrell, Marie: On-line relational SOM for dissimilarity data, 2012, <https://arxiv.org/abs/1212.6316>
187.Pelossof, Raphael; Ying, Zhiliang: Focus of Attention for Linear Predictors, 2012, <https://arxiv.org/abs/1212.6659>
188.Luengo, David; Via, Javier; Monzon, Sandra; Trigano, Tom; Artes-Rodriguez, Antonio: Blind Analysis of EGM Signals: Sparsity-Aware Formulation, 2012, <https://arxiv.org/abs/1212.6936>
189.Jitkrittum, Wittawat; Hachiya, Hirotaka; Sugiyama, Masashi: Feature Selection via L1-Penalized Squared-Loss Mutual Information, 2012, <https://arxiv.org/abs/1210.1960>
190.Gurumoorthy, Karthik S.; Rangarajan, Anand; Corring, John: Gradient density estimation in arbitrary finite dimensions using the method of stationary phase, 2012, <https://arxiv.org/abs/1211.3038>
191.Rohe, Karl; Qin, Tai; Yu, Bin: Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim, 2012, <https://arxiv.org/abs/1204.2296>
192.Caron, François; Teh, Yee Whye; Murphy, Thomas Brendan: Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes, 2012, <https://arxiv.org/abs/1211.5037>
193.Chen, Yudong; Sanghavi, Sujay; Xu, Huan: Improved Graph Clustering, 2012, <https://arxiv.org/abs/1210.3335>
194.Paisley, John; Wang, Chong; Blei, David M.; Jordan, Michael I.: Nested Hierarchical Dirichlet Processes, 2012, <https://arxiv.org/abs/1210.6738>
195.Allen, Genevera I.; Peterson, Christine; Vannucci, Marina; Maletic-Savatic, Mirjana: Regularized Partial Least Squares with an Application to NMR Spectroscopy, 2012, <https://arxiv.org/abs/1204.3942>
196.Kawakita, Masanori; Kanamori, Takafumi: Semi-Supervised learning with Density-Ratio Estimation, 2012, <https://arxiv.org/abs/1204.3965>
197.Zhang, Zhihua; Wang, Shusen; Liu, Dehua; Jordan, Michael I.: EP-GIG Priors and Applications in Bayesian Sparse Learning, 2012, <https://arxiv.org/abs/1204.4243>
198.Henao, Ricardo; Lucas, Joseph E.: Efficient hierarchical clustering for continuous data, 2012, <https://arxiv.org/abs/1204.4708>
199.Schwartz, Yannick; Varoquaux, Gaël; Thirion, Bertrand: On spatial selectivity and prediction across conditions with fMRI, 2012, <https://arxiv.org/abs/1209.1450>
200.Lorbert, Alexander; Blei, David M.; Schapire, Robert E.; Ramadge, Peter J.: A Bayesian Boosting Model, 2012, <https://arxiv.org/abs/1209.1996>
201.Veeramachaneni, Sriharsha: Time-series Scenario Forecasting, 2012, <https://arxiv.org/abs/1211.3010>
202.Abbey, Ralph; Diepenbrock, Jeremy; Langville, Amy; Meyer, Carl; Race, Shaina; Zhou, Dexin: Data Clustering via Principal Direction Gap Partitioning, 2012, <https://arxiv.org/abs/1211.4142>
203.Caron, Francois; Teh, Yee Whye: Bayesian nonparametric models for ranked data, 2012, <https://arxiv.org/abs/1211.4321>
204.Yamazaki, Keisuke: Asymptotic Accuracy of Bayes Estimation for Latent Variables with Redundancy, 2012, <https://arxiv.org/abs/1205.3234>
205.He, Yangbo; Jia, Jinzhu; Yu, Bin: Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs, 2012, <https://arxiv.org/abs/1209.5860>
206.Bahmani, Sohail; Raj, Bhiksha; Boufounos, Petros: Greedy Sparsity-Constrained Optimization, 2012, <https://arxiv.org/abs/1203.5483>
207.Lee, Jason D.; Hastie, Trevor J.: Learning Mixed Graphical Models, 2012, <https://arxiv.org/abs/1205.5012>
208.Cuturi, Marco: Positivity and Transportation, 2012, <https://arxiv.org/abs/1209.2655>
209.Rao, Nikhil; Recht, Benjamin; Nowak, Robert: Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging, 2012, <https://arxiv.org/abs/1209.3079>
210.Richard, Emile; Gaiffas, Stephane; Vayatis, Nicolas: Link Prediction in Graphs with Autoregressive Features, 2012, <https://arxiv.org/abs/1209.3230>
211.Sun, Ming; Priebe, Carey E.; Tang, Minh: Generalized Canonical Correlation Analysis for Disparate Data Fusion, 2012, <https://arxiv.org/abs/1209.3761>
212.Gilboa, Elad; Saatçi, Yunus; Cunningham, John P.: Scaling Multidimensional Inference for Structured Gaussian Processes, 2012, <https://arxiv.org/abs/1209.4120>
213.Yilmaz, Y. Kenan; Cemgil, A. Taylan: Alpha/Beta Divergences and Tweedie Models, 2012, <https://arxiv.org/abs/1209.4280>
214.McWilliams, Brian; Montana, Giovanni: Multi-view predictive partitioning in high dimensions, 2012, <https://arxiv.org/abs/1202.0825>
215.Netrapalli, Praneeth; Banerjee, Siddhartha; Sanghavi, Sujay; Shakkottai, Sanjay: Greedy Learning of Markov Network Structure, 2012, <https://arxiv.org/abs/1202.1787>
216.Rossi, Ryan A.; McDowell, Luke K.; Aha, David W.; Neville, Jennifer: Transforming Graph Representations for Statistical Relational Learning, 2012, <https://arxiv.org/abs/1204.0033>
217.Pedersen, Niels Lovmand; Manchón, Carles Navarro; Shutin, Dmitriy; Fleury, Bernard Henri: Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation, 2012, <https://arxiv.org/abs/1204.0656>
218.Sra, Suvrit: Fast projections onto mixed-norm balls with applications, 2012, <https://arxiv.org/abs/1204.1437>
219.Tashiro, Tatsuya; Shimizu, Shohei; Hyvarinen, Aapo; Washio, Takashi: Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders, 2012, <https://arxiv.org/abs/1204.1795>
220.Zhang, Zhihua; Dai, Guang; Jordan, Michael I.: Coherence Functions with Applications in Large-Margin Classification Methods, 2012, <https://arxiv.org/abs/1204.2049>
221.Mahrsi, Mohamed Khalil El; Rossi, Fabrice: Modularity-Based Clustering for Network-Constrained Trajectories, 2012, <https://arxiv.org/abs/1205.2172>
222.Sigg, Christian D.; Dikk, Tomas; Buhmann, Joachim M.: Learning Dictionaries with Bounded Self-Coherence, 2012, <https://arxiv.org/abs/1205.6210>
223.Deisenroth, Marc Peter; Mohamed, Shakir: Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version, 2012, <https://arxiv.org/abs/1207.2940>
224.Peters, Jonas; Janzing, Dominik; Schölkopf, Bernhard: Causal Inference on Time Series using Structural Equation Models, 2012, <https://arxiv.org/abs/1207.5136>
225.Fishkind, Donniell E.; Adali, Sancar; Patsolic, Heather G.; Meng, Lingyao; Singh, Digvijay; Lyzinski, Vince; Priebe, Carey E.: Seeded Graph Matching, 2012, <https://arxiv.org/abs/1209.0367>
226.Lange, Tatjana; Mosler, Karl; Mozharovskyi, Pavlo: Fast nonparametric classification based on data depth, 2012, <https://arxiv.org/abs/1207.4992>
227.Montufar, Guido F.; Morton, Jason: When Does a Mixture of Products Contain a Product of Mixtures?, 2012, <https://arxiv.org/abs/1206.0387>
228.Goldberg, Yair; Kosorok, Michael R.: Support Vector Regression for Right Censored Data, 2012, <https://arxiv.org/abs/1202.5130>
229.Muandet, Krikamol; Fukumizu, Kenji; Dinuzzo, Francesco; Schölkopf, Bernhard: Learning from Distributions via Support Measure Machines, 2012, <https://arxiv.org/abs/1202.6504>
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